├── .gitignore ├── LICENSE ├── README.md ├── data └── 百度点石-0.9830.csv ├── model ├── LeNetModel.zip ├── SingleLayerModel.zip └── earlystopping │ └── early.log ├── pom.xml └── src └── main ├── java ├── baidudianshi │ ├── AlexNetTrain.java │ ├── DataSetAccuracyLossCalculator.java │ ├── Predict.java │ ├── PrepareData.java │ ├── RelativeDataSetLossCalculator.java │ └── VGG16Transfer.java ├── gan │ ├── Gan11Exemple.java │ ├── Gan4Exemple.java │ ├── GanCnnInputPreProcessor.java │ ├── ImageUtils.java │ └── InOutputPlatPreProcessor.java ├── lesson1 │ ├── Nd4jCreate.java │ ├── Nd4jGetAndSet.java │ ├── Nd4jGetAndSetParts.java │ └── Nd4jMatrix.java ├── lesson2 │ ├── MultiRegression.java │ ├── MultiToMultiRegression.java │ ├── RegressionMathFunctions.java │ ├── SingleRegression.java │ └── function │ │ ├── MathFunction.java │ │ ├── SawtoothMathFunction.java │ │ ├── SinMathFunction.java │ │ ├── SinXDivXMathFunction.java │ │ ├── SquareWaveMathFunction.java │ │ └── TriangleWaveMathFunction.java ├── lesson3 │ ├── MLPClassifierLinear.java │ ├── MLPClassifierMoon.java │ ├── MLPClassifierSaturn.java │ └── PlotUtil.java ├── lesson4 │ ├── MLPMnistSingleLayerExample.java │ ├── MLPMnistTwoLayerExample.java │ └── MLPMnistUIExample.java ├── lesson5 │ ├── SaveLoadComputationGraph.java │ └── SaveLoadMultiLayerNetwork.java ├── lesson6 │ ├── LenetMnistExample.java │ └── UsingModelToPredict.java ├── lesson7 │ ├── Data.java │ ├── GenerateData.java │ ├── RegIterator.java │ ├── SinCosLstm.java │ └── regression │ │ ├── MultiTimestepRegressionExample.java │ │ └── SingleTimestepRegressionExample.java ├── objectdetection │ └── RedBloodCellDetection.java ├── reinforce │ └── QLearning.java ├── styletransfer │ └── NeuralStyleTransfer.java └── tensorflow │ └── LoadTensorFlowMNISTMLP.java └── resources ├── MNIST.zip ├── classification ├── linear_data_eval.csv ├── linear_data_train.csv ├── moon_data_eval.csv ├── moon_data_train.csv ├── saturn_data_eval.csv └── saturn_data_train.csv ├── datasets ├── Annotations │ ├── BloodImage_00000.xml │ ├── BloodImage_00001.xml │ ├── BloodImage_00002.xml │ ├── BloodImage_00003.xml │ ├── BloodImage_00004.xml │ ├── BloodImage_00005.xml │ ├── BloodImage_00006.xml │ ├── BloodImage_00007.xml │ ├── BloodImage_00008.xml │ ├── BloodImage_00009.xml │ ├── BloodImage_00010.xml │ ├── BloodImage_00011.xml │ ├── BloodImage_00012.xml │ ├── BloodImage_00013.xml │ ├── BloodImage_00014.xml │ ├── BloodImage_00015.xml │ ├── BloodImage_00016.xml │ ├── BloodImage_00017.xml │ ├── BloodImage_00018.xml │ ├── BloodImage_00019.xml │ ├── BloodImage_00020.xml │ ├── BloodImage_00021.xml │ ├── BloodImage_00022.xml │ ├── BloodImage_00023.xml │ ├── BloodImage_00024.xml │ ├── BloodImage_00026.xml │ ├── BloodImage_00028.xml │ ├── BloodImage_00029.xml │ ├── BloodImage_00030.xml │ ├── BloodImage_00031.xml │ ├── BloodImage_00032.xml │ ├── BloodImage_00033.xml │ ├── BloodImage_00034.xml │ ├── BloodImage_00035.xml │ ├── BloodImage_00036.xml │ ├── BloodImage_00037.xml │ ├── BloodImage_00038.xml │ ├── BloodImage_00039.xml │ ├── BloodImage_00040.xml │ ├── BloodImage_00041.xml │ ├── BloodImage_00043.xml │ ├── BloodImage_00044.xml │ ├── BloodImage_00045.xml │ ├── BloodImage_00046.xml │ ├── BloodImage_00047.xml │ ├── BloodImage_00048.xml │ ├── BloodImage_00049.xml │ ├── BloodImage_00050.xml │ ├── BloodImage_00052.xml │ ├── BloodImage_00053.xml │ ├── BloodImage_00054.xml │ ├── BloodImage_00055.xml │ ├── BloodImage_00056.xml │ ├── BloodImage_00057.xml │ ├── BloodImage_00058.xml │ ├── BloodImage_00059.xml │ ├── BloodImage_00062.xml │ ├── BloodImage_00063.xml │ ├── BloodImage_00064.xml │ ├── BloodImage_00065.xml │ ├── BloodImage_00066.xml │ ├── BloodImage_00067.xml │ ├── BloodImage_00068.xml │ ├── BloodImage_00069.xml │ ├── BloodImage_00070.xml │ ├── BloodImage_00071.xml │ ├── BloodImage_00072.xml │ ├── BloodImage_00073.xml │ ├── BloodImage_00074.xml │ ├── BloodImage_00075.xml │ ├── BloodImage_00076.xml │ ├── BloodImage_00077.xml │ ├── BloodImage_00078.xml │ ├── BloodImage_00079.xml │ ├── BloodImage_00081.xml │ ├── BloodImage_00082.xml │ ├── BloodImage_00087.xml │ ├── BloodImage_00088.xml │ ├── BloodImage_00089.xml │ ├── BloodImage_00090.xml │ ├── BloodImage_00091.xml │ ├── BloodImage_00092.xml │ ├── BloodImage_00093.xml │ ├── BloodImage_00094.xml │ ├── BloodImage_00095.xml │ ├── BloodImage_00097.xml │ ├── BloodImage_00098.xml │ ├── BloodImage_00099.xml │ ├── BloodImage_00100.xml │ ├── BloodImage_00101.xml │ ├── BloodImage_00103.xml │ ├── BloodImage_00104.xml │ ├── BloodImage_00106.xml │ ├── BloodImage_00107.xml │ ├── BloodImage_00108.xml │ ├── BloodImage_00109.xml │ ├── BloodImage_00110.xml │ ├── BloodImage_00111.xml │ ├── BloodImage_00112.xml │ ├── BloodImage_00113.xml │ ├── BloodImage_00114.xml │ ├── BloodImage_00115.xml │ ├── BloodImage_00117.xml │ ├── BloodImage_00120.xml │ ├── BloodImage_00123.xml │ ├── BloodImage_00124.xml │ ├── BloodImage_00125.xml │ ├── BloodImage_00126.xml │ ├── BloodImage_00127.xml │ ├── BloodImage_00130.xml │ ├── BloodImage_00132.xml │ ├── BloodImage_00133.xml │ ├── BloodImage_00135.xml │ ├── BloodImage_00136.xml │ ├── BloodImage_00137.xml │ ├── BloodImage_00139.xml │ ├── BloodImage_00140.xml │ ├── BloodImage_00141.xml │ ├── BloodImage_00142.xml │ ├── BloodImage_00143.xml │ ├── BloodImage_00144.xml │ ├── BloodImage_00145.xml │ ├── BloodImage_00148.xml │ ├── BloodImage_00149.xml │ ├── BloodImage_00154.xml │ ├── BloodImage_00156.xml │ ├── BloodImage_00157.xml │ ├── BloodImage_00158.xml │ ├── BloodImage_00159.xml │ ├── BloodImage_00160.xml │ ├── BloodImage_00161.xml │ ├── BloodImage_00162.xml │ ├── BloodImage_00163.xml │ ├── BloodImage_00164.xml │ ├── BloodImage_00165.xml │ ├── BloodImage_00166.xml │ ├── BloodImage_00167.xml │ ├── BloodImage_00168.xml │ ├── BloodImage_00169.xml │ ├── BloodImage_00170.xml │ ├── BloodImage_00171.xml │ ├── BloodImage_00172.xml │ ├── BloodImage_00174.xml │ ├── BloodImage_00175.xml │ ├── BloodImage_00176.xml │ ├── BloodImage_00177.xml │ ├── BloodImage_00178.xml │ ├── BloodImage_00179.xml │ ├── BloodImage_00180.xml │ ├── BloodImage_00182.xml │ ├── BloodImage_00183.xml │ ├── BloodImage_00184.xml │ ├── BloodImage_00189.xml │ ├── BloodImage_00190.xml │ ├── BloodImage_00191.xml │ ├── BloodImage_00192.xml │ ├── BloodImage_00193.xml │ ├── BloodImage_00195.xml │ ├── BloodImage_00196.xml │ ├── BloodImage_00197.xml │ ├── BloodImage_00198.xml │ ├── BloodImage_00199.xml │ ├── BloodImage_00200.xml │ ├── BloodImage_00201.xml │ ├── BloodImage_00202.xml │ ├── BloodImage_00203.xml │ ├── BloodImage_00204.xml │ ├── BloodImage_00205.xml │ ├── BloodImage_00206.xml │ ├── BloodImage_00207.xml │ ├── BloodImage_00208.xml │ ├── BloodImage_00209.xml │ ├── BloodImage_00210.xml │ ├── BloodImage_00211.xml │ ├── BloodImage_00212.xml │ ├── BloodImage_00214.xml │ ├── BloodImage_00215.xml │ ├── BloodImage_00216.xml │ ├── BloodImage_00217.xml │ ├── BloodImage_00218.xml │ ├── BloodImage_00219.xml │ ├── BloodImage_00220.xml │ ├── BloodImage_00221.xml │ ├── BloodImage_00222.xml │ ├── BloodImage_00223.xml │ ├── BloodImage_00225.xml │ ├── BloodImage_00226.xml │ ├── BloodImage_00227.xml │ ├── BloodImage_00228.xml │ ├── BloodImage_00229.xml │ ├── BloodImage_00230.xml │ ├── BloodImage_00231.xml │ ├── BloodImage_00232.xml │ ├── BloodImage_00233.xml │ ├── BloodImage_00234.xml │ ├── BloodImage_00235.xml │ ├── BloodImage_00236.xml │ ├── BloodImage_00237.xml │ ├── BloodImage_00239.xml │ ├── BloodImage_00240.xml │ ├── BloodImage_00241.xml │ ├── BloodImage_00242.xml │ ├── BloodImage_00243.xml │ ├── BloodImage_00244.xml │ ├── BloodImage_00245.xml │ ├── BloodImage_00246.xml │ ├── BloodImage_00247.xml │ ├── BloodImage_00248.xml │ ├── BloodImage_00251.xml │ ├── BloodImage_00252.xml │ ├── BloodImage_00253.xml │ ├── BloodImage_00254.xml │ ├── BloodImage_00255.xml │ ├── BloodImage_00256.xml │ ├── BloodImage_00257.xml │ ├── BloodImage_00259.xml │ ├── BloodImage_00260.xml │ ├── BloodImage_00261.xml │ ├── BloodImage_00262.xml │ ├── BloodImage_00263.xml │ ├── BloodImage_00264.xml │ ├── BloodImage_00265.xml │ ├── BloodImage_00266.xml │ ├── BloodImage_00269.xml │ ├── BloodImage_00271.xml │ ├── BloodImage_00272.xml │ ├── BloodImage_00273.xml │ ├── BloodImage_00274.xml │ ├── BloodImage_00275.xml │ ├── BloodImage_00276.xml │ ├── BloodImage_00277.xml │ ├── BloodImage_00278.xml │ ├── BloodImage_00279.xml │ ├── BloodImage_00281.xml │ ├── BloodImage_00282.xml │ ├── BloodImage_00283.xml │ ├── BloodImage_00284.xml │ ├── BloodImage_00285.xml │ ├── BloodImage_00287.xml │ ├── BloodImage_00288.xml │ ├── BloodImage_00289.xml │ ├── BloodImage_00290.xml │ ├── BloodImage_00291.xml │ ├── BloodImage_00292.xml │ ├── BloodImage_00293.xml │ ├── BloodImage_00294.xml │ ├── BloodImage_00295.xml │ ├── BloodImage_00296.xml │ ├── BloodImage_00297.xml │ ├── BloodImage_00298.xml │ ├── BloodImage_00299.xml │ ├── BloodImage_00300.xml │ ├── BloodImage_00301.xml │ ├── BloodImage_00302.xml │ ├── BloodImage_00304.xml │ ├── BloodImage_00305.xml │ ├── BloodImage_00307.xml │ ├── BloodImage_00308.xml │ ├── BloodImage_00309.xml │ ├── BloodImage_00310.xml │ ├── BloodImage_00311.xml │ ├── BloodImage_00312.xml │ ├── BloodImage_00313.xml │ ├── BloodImage_00314.xml │ ├── BloodImage_00315.xml │ ├── BloodImage_00317.xml │ ├── BloodImage_00318.xml │ ├── BloodImage_00319.xml │ ├── BloodImage_00320.xml │ ├── BloodImage_00324.xml │ ├── BloodImage_00325.xml │ ├── BloodImage_00326.xml │ ├── BloodImage_00331.xml │ ├── BloodImage_00332.xml │ ├── BloodImage_00333.xml │ ├── BloodImage_00334.xml │ ├── BloodImage_00335.xml │ ├── BloodImage_00336.xml │ ├── BloodImage_00337.xml │ ├── BloodImage_00338.xml │ ├── BloodImage_00339.xml │ ├── BloodImage_00340.xml │ ├── BloodImage_00341.xml │ ├── BloodImage_00342.xml │ ├── BloodImage_00343.xml │ ├── BloodImage_00344.xml │ ├── BloodImage_00345.xml │ ├── BloodImage_00346.xml │ ├── BloodImage_00347.xml │ ├── BloodImage_00348.xml │ ├── BloodImage_00349.xml │ ├── BloodImage_00351.xml │ ├── BloodImage_00352.xml │ ├── BloodImage_00353.xml │ ├── BloodImage_00354.xml │ ├── BloodImage_00355.xml │ ├── BloodImage_00356.xml │ ├── BloodImage_00357.xml │ ├── BloodImage_00359.xml │ ├── BloodImage_00360.xml │ ├── BloodImage_00361.xml │ ├── BloodImage_00362.xml │ ├── BloodImage_00364.xml │ ├── BloodImage_00365.xml │ ├── BloodImage_00366.xml │ ├── BloodImage_00367.xml │ ├── BloodImage_00368.xml │ ├── BloodImage_00369.xml │ ├── BloodImage_00370.xml │ ├── BloodImage_00371.xml │ ├── BloodImage_00372.xml │ ├── BloodImage_00374.xml │ ├── BloodImage_00375.xml │ ├── BloodImage_00376.xml │ ├── BloodImage_00377.xml │ ├── BloodImage_00378.xml │ ├── BloodImage_00379.xml │ ├── BloodImage_00381.xml │ ├── BloodImage_00382.xml │ ├── BloodImage_00383.xml │ ├── BloodImage_00384.xml │ ├── BloodImage_00385.xml │ ├── BloodImage_00386.xml │ ├── BloodImage_00387.xml │ ├── BloodImage_00388.xml │ ├── BloodImage_00389.xml │ ├── BloodImage_00390.xml │ ├── BloodImage_00391.xml │ ├── BloodImage_00392.xml │ ├── BloodImage_00393.xml │ ├── BloodImage_00395.xml │ ├── BloodImage_00396.xml │ ├── BloodImage_00397.xml │ ├── BloodImage_00398.xml │ ├── BloodImage_00400.xml │ ├── BloodImage_00402.xml │ ├── BloodImage_00403.xml │ ├── BloodImage_00404.xml │ ├── BloodImage_00405.xml │ ├── BloodImage_00407.xml │ ├── BloodImage_00408.xml │ ├── BloodImage_00409.xml │ └── BloodImage_00410.xml └── JPEGImages │ ├── BloodImage_00000.jpg │ ├── BloodImage_00001.jpg │ ├── BloodImage_00002.jpg │ ├── BloodImage_00003.jpg │ ├── BloodImage_00004.jpg │ ├── BloodImage_00005.jpg │ ├── BloodImage_00006.jpg │ ├── BloodImage_00007.jpg │ ├── BloodImage_00008.jpg │ ├── BloodImage_00009.jpg │ ├── BloodImage_00010.jpg │ ├── BloodImage_00011.jpg │ ├── BloodImage_00012.jpg │ ├── BloodImage_00013.jpg │ ├── BloodImage_00014.jpg │ ├── BloodImage_00015.jpg │ ├── BloodImage_00016.jpg │ ├── BloodImage_00017.jpg │ ├── BloodImage_00018.jpg │ ├── BloodImage_00019.jpg │ ├── BloodImage_00020.jpg │ ├── BloodImage_00021.jpg │ ├── BloodImage_00022.jpg │ ├── BloodImage_00023.jpg │ ├── BloodImage_00024.jpg │ ├── BloodImage_00026.jpg │ ├── BloodImage_00028.jpg │ ├── BloodImage_00029.jpg │ ├── BloodImage_00030.jpg │ ├── BloodImage_00031.jpg │ ├── BloodImage_00032.jpg │ ├── BloodImage_00033.jpg │ ├── BloodImage_00034.jpg │ ├── BloodImage_00035.jpg │ ├── BloodImage_00036.jpg │ ├── BloodImage_00037.jpg │ ├── BloodImage_00038.jpg │ ├── BloodImage_00039.jpg │ ├── BloodImage_00040.jpg │ ├── BloodImage_00041.jpg │ ├── BloodImage_00042.jpg │ ├── BloodImage_00043.jpg │ ├── BloodImage_00044.jpg │ ├── BloodImage_00045.jpg │ ├── BloodImage_00046.jpg │ ├── BloodImage_00047.jpg │ ├── BloodImage_00048.jpg │ ├── BloodImage_00049.jpg │ ├── BloodImage_00050.jpg │ ├── BloodImage_00052.jpg │ ├── BloodImage_00053.jpg │ ├── BloodImage_00054.jpg │ ├── BloodImage_00055.jpg │ ├── BloodImage_00056.jpg │ ├── BloodImage_00057.jpg │ ├── BloodImage_00058.jpg │ ├── BloodImage_00059.jpg │ ├── BloodImage_00062.jpg │ ├── BloodImage_00063.jpg │ ├── BloodImage_00064.jpg │ ├── BloodImage_00065.jpg │ ├── BloodImage_00066.jpg │ ├── BloodImage_00067.jpg │ ├── BloodImage_00068.jpg │ ├── BloodImage_00069.jpg │ ├── BloodImage_00070.jpg │ ├── BloodImage_00071.jpg │ ├── BloodImage_00072.jpg │ ├── BloodImage_00073.jpg │ ├── BloodImage_00074.jpg │ ├── BloodImage_00075.jpg │ ├── BloodImage_00076.jpg │ ├── BloodImage_00077.jpg │ ├── BloodImage_00078.jpg │ ├── BloodImage_00079.jpg │ ├── BloodImage_00081.jpg │ ├── BloodImage_00082.jpg │ ├── BloodImage_00083.jpg │ ├── BloodImage_00086.jpg │ ├── BloodImage_00087.jpg │ ├── BloodImage_00088.jpg │ ├── BloodImage_00089.jpg │ ├── BloodImage_00090.jpg │ ├── BloodImage_00091.jpg │ ├── BloodImage_00092.jpg │ ├── BloodImage_00093.jpg │ ├── BloodImage_00094.jpg │ ├── BloodImage_00095.jpg │ ├── BloodImage_00096.jpg │ ├── BloodImage_00097.jpg │ ├── BloodImage_00098.jpg │ ├── BloodImage_00099.jpg │ ├── BloodImage_00100.jpg │ ├── BloodImage_00101.jpg │ ├── BloodImage_00103.jpg │ ├── BloodImage_00104.jpg │ ├── BloodImage_00106.jpg │ ├── BloodImage_00107.jpg │ ├── BloodImage_00108.jpg │ ├── BloodImage_00109.jpg │ ├── BloodImage_00110.jpg │ ├── BloodImage_00111.jpg │ ├── BloodImage_00112.jpg │ ├── BloodImage_00113.jpg │ ├── BloodImage_00114.jpg │ ├── BloodImage_00115.jpg │ ├── BloodImage_00117.jpg │ ├── BloodImage_00120.jpg │ ├── BloodImage_00123.jpg │ ├── BloodImage_00124.jpg │ ├── BloodImage_00125.jpg │ ├── BloodImage_00126.jpg │ ├── BloodImage_00127.jpg │ ├── BloodImage_00130.jpg │ ├── BloodImage_00132.jpg │ ├── BloodImage_00133.jpg │ ├── BloodImage_00134.jpg │ ├── BloodImage_00135.jpg │ ├── BloodImage_00136.jpg │ ├── BloodImage_00137.jpg │ ├── BloodImage_00139.jpg │ ├── BloodImage_00140.jpg │ ├── BloodImage_00141.jpg │ ├── BloodImage_00142.jpg │ ├── BloodImage_00143.jpg │ ├── BloodImage_00144.jpg │ ├── BloodImage_00145.jpg │ ├── BloodImage_00147.jpg │ ├── BloodImage_00148.jpg │ ├── BloodImage_00149.jpg │ ├── BloodImage_00150.jpg │ ├── BloodImage_00152.jpg │ ├── BloodImage_00154.jpg │ ├── BloodImage_00156.jpg │ ├── BloodImage_00157.jpg │ ├── BloodImage_00158.jpg │ ├── BloodImage_00159.jpg │ ├── BloodImage_00160.jpg │ ├── BloodImage_00161.jpg │ ├── BloodImage_00162.jpg │ ├── BloodImage_00163.jpg │ ├── BloodImage_00164.jpg │ ├── BloodImage_00165.jpg │ ├── BloodImage_00166.jpg │ ├── BloodImage_00167.jpg │ ├── BloodImage_00168.jpg │ ├── BloodImage_00169.jpg │ ├── BloodImage_00170.jpg │ ├── BloodImage_00171.jpg │ ├── BloodImage_00172.jpg │ ├── BloodImage_00174.jpg │ ├── BloodImage_00175.jpg │ ├── BloodImage_00176.jpg │ ├── BloodImage_00177.jpg │ ├── BloodImage_00178.jpg │ ├── BloodImage_00179.jpg │ ├── BloodImage_00180.jpg │ ├── BloodImage_00182.jpg │ ├── BloodImage_00183.jpg │ ├── BloodImage_00184.jpg │ ├── BloodImage_00187.jpg │ ├── BloodImage_00189.jpg │ ├── BloodImage_00190.jpg │ ├── BloodImage_00191.jpg │ ├── BloodImage_00192.jpg │ ├── BloodImage_00193.jpg │ ├── BloodImage_00195.jpg │ ├── BloodImage_00196.jpg │ ├── BloodImage_00197.jpg │ ├── BloodImage_00198.jpg │ ├── BloodImage_00199.jpg │ ├── BloodImage_00200.jpg │ ├── BloodImage_00201.jpg │ ├── BloodImage_00202.jpg │ ├── BloodImage_00203.jpg │ ├── BloodImage_00204.jpg │ ├── BloodImage_00205.jpg │ ├── BloodImage_00206.jpg │ ├── BloodImage_00207.jpg │ ├── BloodImage_00208.jpg │ ├── BloodImage_00209.jpg │ ├── BloodImage_00210.jpg │ ├── BloodImage_00211.jpg │ ├── BloodImage_00212.jpg │ ├── BloodImage_00214.jpg │ ├── BloodImage_00215.jpg │ ├── BloodImage_00216.jpg │ ├── BloodImage_00217.jpg │ ├── BloodImage_00218.jpg │ ├── BloodImage_00219.jpg │ ├── BloodImage_00220.jpg │ ├── BloodImage_00221.jpg │ ├── BloodImage_00222.jpg │ ├── BloodImage_00223.jpg │ ├── BloodImage_00224.jpg │ ├── BloodImage_00225.jpg │ ├── BloodImage_00226.jpg │ ├── BloodImage_00227.jpg │ ├── BloodImage_00228.jpg │ ├── BloodImage_00229.jpg │ ├── BloodImage_00230.jpg │ ├── BloodImage_00231.jpg │ ├── BloodImage_00232.jpg │ ├── BloodImage_00233.jpg │ ├── BloodImage_00234.jpg │ ├── BloodImage_00235.jpg │ ├── BloodImage_00236.jpg │ ├── BloodImage_00237.jpg │ ├── BloodImage_00239.jpg │ ├── BloodImage_00240.jpg │ ├── BloodImage_00241.jpg │ ├── BloodImage_00242.jpg │ ├── BloodImage_00243.jpg │ ├── BloodImage_00244.jpg │ ├── BloodImage_00245.jpg │ ├── BloodImage_00246.jpg │ ├── BloodImage_00247.jpg │ ├── BloodImage_00248.jpg │ ├── BloodImage_00249.jpg │ ├── BloodImage_00250.jpg │ ├── BloodImage_00251.jpg │ ├── BloodImage_00252.jpg │ ├── BloodImage_00253.jpg │ ├── BloodImage_00254.jpg │ ├── BloodImage_00255.jpg │ ├── BloodImage_00256.jpg │ ├── BloodImage_00257.jpg │ ├── BloodImage_00258.jpg │ ├── BloodImage_00259.jpg │ ├── BloodImage_00260.jpg │ ├── BloodImage_00261.jpg │ ├── BloodImage_00262.jpg │ ├── BloodImage_00263.jpg │ ├── BloodImage_00264.jpg │ ├── BloodImage_00265.jpg │ ├── BloodImage_00266.jpg │ ├── BloodImage_00267.jpg │ ├── BloodImage_00268.jpg │ ├── BloodImage_00269.jpg │ ├── BloodImage_00270.jpg │ ├── BloodImage_00271.jpg │ ├── BloodImage_00272.jpg │ ├── BloodImage_00273.jpg │ ├── BloodImage_00274.jpg │ ├── BloodImage_00275.jpg │ ├── BloodImage_00276.jpg │ ├── BloodImage_00277.jpg │ ├── BloodImage_00278.jpg │ ├── BloodImage_00279.jpg │ ├── BloodImage_00281.jpg │ ├── BloodImage_00282.jpg │ ├── BloodImage_00283.jpg │ ├── BloodImage_00284.jpg │ ├── BloodImage_00285.jpg │ ├── BloodImage_00287.jpg │ ├── BloodImage_00288.jpg │ ├── BloodImage_00289.jpg │ ├── BloodImage_00290.jpg │ ├── BloodImage_00291.jpg │ ├── BloodImage_00292.jpg │ ├── BloodImage_00293.jpg │ ├── BloodImage_00294.jpg │ ├── BloodImage_00295.jpg │ ├── BloodImage_00296.jpg │ ├── BloodImage_00297.jpg │ ├── BloodImage_00298.jpg │ ├── BloodImage_00299.jpg │ ├── BloodImage_00300.jpg │ ├── BloodImage_00301.jpg │ ├── BloodImage_00302.jpg │ ├── BloodImage_00303.jpg │ ├── BloodImage_00304.jpg │ ├── BloodImage_00305.jpg │ ├── BloodImage_00307.jpg │ ├── BloodImage_00308.jpg │ ├── BloodImage_00309.jpg │ ├── BloodImage_00310.jpg │ ├── BloodImage_00311.jpg │ ├── BloodImage_00312.jpg │ ├── BloodImage_00313.jpg │ ├── BloodImage_00314.jpg │ ├── BloodImage_00315.jpg │ ├── BloodImage_00317.jpg │ ├── BloodImage_00318.jpg │ ├── BloodImage_00319.jpg │ ├── BloodImage_00320.jpg │ ├── BloodImage_00322.jpg │ ├── BloodImage_00323.jpg │ ├── BloodImage_00324.jpg │ ├── BloodImage_00325.jpg │ ├── BloodImage_00326.jpg │ ├── BloodImage_00327.jpg │ ├── BloodImage_00329.jpg │ ├── BloodImage_00330.jpg │ ├── BloodImage_00331.jpg │ ├── BloodImage_00332.jpg │ ├── BloodImage_00333.jpg │ ├── BloodImage_00334.jpg │ ├── BloodImage_00335.jpg │ ├── BloodImage_00336.jpg │ ├── BloodImage_00337.jpg │ ├── BloodImage_00338.jpg │ ├── BloodImage_00339.jpg │ ├── BloodImage_00340.jpg │ ├── BloodImage_00341.jpg │ ├── BloodImage_00342.jpg │ ├── BloodImage_00343.jpg │ ├── BloodImage_00344.jpg │ ├── BloodImage_00345.jpg │ ├── BloodImage_00346.jpg │ ├── BloodImage_00347.jpg │ ├── BloodImage_00348.jpg │ ├── BloodImage_00349.jpg │ ├── BloodImage_00350.jpg │ ├── BloodImage_00351.jpg │ ├── BloodImage_00352.jpg │ ├── BloodImage_00353.jpg │ ├── BloodImage_00354.jpg │ ├── BloodImage_00355.jpg │ ├── BloodImage_00356.jpg │ ├── BloodImage_00357.jpg │ ├── BloodImage_00359.jpg │ ├── BloodImage_00360.jpg │ ├── BloodImage_00361.jpg │ ├── BloodImage_00362.jpg │ ├── BloodImage_00364.jpg │ ├── BloodImage_00365.jpg │ ├── BloodImage_00366.jpg │ ├── BloodImage_00367.jpg │ ├── BloodImage_00368.jpg │ ├── BloodImage_00369.jpg │ ├── BloodImage_00370.jpg │ ├── BloodImage_00371.jpg │ ├── BloodImage_00372.jpg │ ├── BloodImage_00374.jpg │ ├── BloodImage_00375.jpg │ ├── BloodImage_00376.jpg │ ├── BloodImage_00377.jpg │ ├── BloodImage_00378.jpg │ ├── BloodImage_00379.jpg │ ├── BloodImage_00381.jpg │ ├── BloodImage_00382.jpg │ ├── BloodImage_00383.jpg │ ├── BloodImage_00384.jpg │ ├── BloodImage_00385.jpg │ ├── BloodImage_00386.jpg │ ├── BloodImage_00387.jpg │ ├── BloodImage_00388.jpg │ ├── BloodImage_00389.jpg │ ├── BloodImage_00390.jpg │ ├── BloodImage_00391.jpg │ ├── BloodImage_00392.jpg │ ├── BloodImage_00393.jpg │ ├── BloodImage_00395.jpg │ ├── BloodImage_00396.jpg │ ├── BloodImage_00397.jpg │ ├── BloodImage_00398.jpg │ ├── BloodImage_00400.jpg │ ├── BloodImage_00402.jpg │ ├── BloodImage_00403.jpg │ ├── BloodImage_00404.jpg │ ├── BloodImage_00405.jpg │ ├── BloodImage_00407.jpg │ ├── BloodImage_00408.jpg │ ├── BloodImage_00409.jpg │ └── BloodImage_00410.jpg ├── logback.xml ├── mnist ├── 0.jpg ├── 1.jpg ├── 2.jpg └── 4.jpg ├── rnnRegression ├── multiTimestepTest │ ├── features │ │ └── .gitkeep │ └── labels │ │ └── .gitkeep ├── multiTimestepTrain │ ├── features │ │ └── .gitkeep │ └── labels │ │ └── .gitkeep ├── passengers_raw.csv ├── passengers_test_0.csv └── passengers_train_0.csv ├── setting └── settings.xml ├── styletransfer ├── content.jpg ├── content1.jpg ├── content2.jpg ├── out │ ├── iteration300.jpg │ └── iteration380_2.jpg ├── style.jpg ├── style01.png ├── style02.png ├── style03.png ├── style04.png ├── style05.png ├── style06.png └── style2.jpg └── tensorflow ├── freeze_model_after.py ├── frozen_graph.pbtxt ├── frozen_model.pb ├── generate_model.py ├── input_a.csv ├── input_a.shape ├── input_b.csv ├── input_b.shape ├── prediction_a.csv ├── prediction_a.shape ├── prediction_b.csv └── prediction_b.shape /.gitignore: -------------------------------------------------------------------------------- 1 | dl4j-tutorials.iml 2 | .idea/ 3 | target/ 4 | logs/ -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2018 Joe 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. 22 | -------------------------------------------------------------------------------- /model/LeNetModel.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/sjsdfg/dl4j-tutorials/01eaf0802c95f160c8813c989a26eb43eaf4b2f7/model/LeNetModel.zip -------------------------------------------------------------------------------- /model/SingleLayerModel.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/sjsdfg/dl4j-tutorials/01eaf0802c95f160c8813c989a26eb43eaf4b2f7/model/SingleLayerModel.zip -------------------------------------------------------------------------------- /src/main/java/baidudianshi/DataSetAccuracyLossCalculator.java: -------------------------------------------------------------------------------- 1 | package baidudianshi; 2 | 3 | import org.deeplearning4j.earlystopping.scorecalc.ScoreCalculator; 4 | import org.deeplearning4j.eval.Evaluation; 5 | import org.deeplearning4j.nn.multilayer.MultiLayerNetwork; 6 | import org.nd4j.linalg.api.ndarray.INDArray; 7 | import org.nd4j.linalg.dataset.DataSet; 8 | import org.nd4j.linalg.dataset.api.iterator.DataSetIterator; 9 | import org.nd4j.linalg.ops.transforms.Transforms; 10 | import org.nd4j.shade.jackson.annotation.JsonProperty; 11 | 12 | /** 13 | * Created by Joe on 2018/1/17 14 | */ 15 | public class DataSetAccuracyLossCalculator implements ScoreCalculator { 16 | 17 | private static final long serialVersionUID = -7477328462428638309L; 18 | private DataSetIterator[] dataSetIterators; 19 | 20 | 21 | public DataSetAccuracyLossCalculator(DataSetIterator... dataSetIterators) { 22 | this.dataSetIterators = dataSetIterators; 23 | } 24 | 25 | @Override 26 | public double calculateScore(MultiLayerNetwork network) { 27 | 28 | double sum = 0; 29 | for (DataSetIterator dataSetIterator : dataSetIterators) { 30 | Evaluation eval = network.evaluate(dataSetIterator); 31 | sum += eval.accuracy(); 32 | } 33 | 34 | return sum / dataSetIterators.length; 35 | } 36 | 37 | 38 | @Override 39 | public boolean minimizeScore() { 40 | // //All classification metrics should be maximized: ACCURACY, F1, PRECISION, RECALL, GMEASURE, MCC 41 | return false; 42 | } 43 | } -------------------------------------------------------------------------------- /src/main/java/baidudianshi/Predict.java: -------------------------------------------------------------------------------- 1 | package baidudianshi; 2 | 3 | import org.datavec.image.loader.NativeImageLoader; 4 | import org.deeplearning4j.nn.multilayer.MultiLayerNetwork; 5 | import org.deeplearning4j.util.ModelSerializer; 6 | import org.nd4j.linalg.api.ndarray.INDArray; 7 | import org.nd4j.linalg.dataset.api.preprocessor.DataNormalization; 8 | import org.nd4j.linalg.dataset.api.preprocessor.Normalizer; 9 | import org.nd4j.linalg.primitives.Pair; 10 | 11 | import javax.naming.Name; 12 | import java.io.File; 13 | import java.util.Arrays; 14 | import java.util.HashMap; 15 | import java.util.List; 16 | import java.util.Map; 17 | 18 | /** 19 | * Created by Joe on 2018/10/18. 20 | */ 21 | public class Predict { 22 | public static void main(String[] args) throws Exception { 23 | String testPath = "data/test"; 24 | File testDir = new File(testPath); 25 | File[] files = testDir.listFiles(); 26 | 27 | Pair modelAndNormalizer = ModelSerializer 28 | .restoreMultiLayerNetworkAndNormalizer(new File("model/AlexNet.zip"), false); 29 | 30 | NativeImageLoader imageLoader = new NativeImageLoader(256, 256, 3); 31 | 32 | MultiLayerNetwork network = modelAndNormalizer.getFirst(); 33 | DataNormalization normalizer = (DataNormalization) modelAndNormalizer.getSecond(); 34 | 35 | Map map = new HashMap<>(); 36 | map.put(0, "CITY"); 37 | map.put(1, "DESERT"); 38 | map.put(2, "FARMLAND"); 39 | map.put(3, "LAKE"); 40 | map.put(4, "MOUNTAIN"); 41 | map.put(5, "OCEAN"); 42 | 43 | for (File file : files) { 44 | INDArray indArray = imageLoader.asMatrix(file); 45 | normalizer.transform(indArray); 46 | 47 | int[] values = network.predict(indArray); 48 | String label = map.get(values[0]); 49 | 50 | System.out.println(file.getName() + "," + label); 51 | } 52 | } 53 | } 54 | -------------------------------------------------------------------------------- /src/main/java/baidudianshi/RelativeDataSetLossCalculator.java: -------------------------------------------------------------------------------- 1 | package baidudianshi; 2 | 3 | import org.deeplearning4j.earlystopping.scorecalc.ScoreCalculator; 4 | import org.deeplearning4j.nn.multilayer.MultiLayerNetwork; 5 | import org.nd4j.linalg.api.ndarray.INDArray; 6 | import org.nd4j.linalg.dataset.DataSet; 7 | import org.nd4j.linalg.dataset.api.iterator.DataSetIterator; 8 | import org.nd4j.linalg.ops.transforms.Transforms; 9 | import org.nd4j.shade.jackson.annotation.JsonProperty; 10 | 11 | /** 12 | * Created by Joe on 2018/1/17 13 | */ 14 | public class RelativeDataSetLossCalculator implements ScoreCalculator { 15 | 16 | private static final long serialVersionUID = -7477328462428638309L; 17 | private DataSetIterator dataSetIterator; 18 | @JsonProperty 19 | private boolean average; 20 | 21 | public RelativeDataSetLossCalculator(){ 22 | 23 | } 24 | 25 | public RelativeDataSetLossCalculator(DataSetIterator dataSetIterator, boolean average) { 26 | this.dataSetIterator = dataSetIterator; 27 | this.average = average; 28 | } 29 | 30 | @Override 31 | public double calculateScore(MultiLayerNetwork network) { 32 | dataSetIterator.reset(); 33 | 34 | double losSum = 0.0; 35 | int exCount = 0; 36 | while (dataSetIterator.hasNext()) { 37 | DataSet dataSet = dataSetIterator.next(); 38 | if (dataSet == null) { 39 | break; 40 | } 41 | long nEx = dataSet.getFeatures().size(0); 42 | 43 | INDArray output = network.output(dataSet.getFeatures(), false); 44 | INDArray labels = dataSet.getLabels(); 45 | 46 | INDArray score = Transforms.abs(output.sub(labels)); 47 | score = score.div(labels); 48 | 49 | exCount += nEx; 50 | losSum += score.sumNumber().doubleValue(); 51 | } 52 | 53 | if (average) { 54 | return losSum / exCount; 55 | } 56 | return losSum; 57 | } 58 | 59 | @Override 60 | public boolean minimizeScore() { 61 | return false; 62 | } 63 | } -------------------------------------------------------------------------------- /src/main/java/lesson1/Nd4jCreate.java: -------------------------------------------------------------------------------- 1 | package lesson1; 2 | 3 | import org.nd4j.linalg.api.ndarray.INDArray; 4 | import org.nd4j.linalg.factory.Nd4j; 5 | 6 | /** 7 | * Created by Joe on 2017/12/27. 8 | * Nd4j创建Nd4j的一些基本操作 9 | */ 10 | public class Nd4jCreate { 11 | public static void main(String[] args) { 12 | /* 13 | 构造一个3行5列的全0 ndarray 14 | */ 15 | System.out.println("构造一个3行5列的全0 ndarray"); 16 | INDArray zeros = Nd4j.zeros(3, 5); 17 | System.out.println(zeros); 18 | 19 | /* 20 | 构造一个3行5列的全1 ndarray 21 | */ 22 | System.out.println("构造一个3行5列的全1 ndarray"); 23 | INDArray ones = Nd4j.ones(3, 5); 24 | System.out.println(ones); 25 | 26 | /* 27 | 构造一个3行5列，数组元素均为随机产生的ndarray 28 | */ 29 | System.out.println("构造一个3行5列，数组元素均为随机产生的ndarray"); 30 | INDArray rands = Nd4j.rand(3, 5); 31 | System.out.println(rands); 32 | 33 | 34 | /* 35 | 构造一个3行5列，数组元素服从高斯分布（平均值为0，标准差为1）的ndarray 36 | */ 37 | System.out.println("构造一个3行5列，数组元素服从高斯分布（平均值为0，标准差为1）的ndarray"); 38 | INDArray randns = Nd4j.randn(3, 5); 39 | System.out.println(randns); 40 | 41 | /* 42 | 给一个一维数据，根据shape创造ndarray 43 | */ 44 | System.out.println("给一个一维数据，根据shape创造ndarray"); 45 | INDArray array1 = Nd4j.create(new float[]{2, 2, 2, 2}, new int[]{1, 4}); 46 | System.out.println(array1); 47 | INDArray array2 = Nd4j.create(new float[]{2, 2, 2, 2}, new int[]{2, 2}); 48 | System.out.println(array2); 49 | } 50 | } 51 | -------------------------------------------------------------------------------- /src/main/java/lesson1/Nd4jGetAndSet.java: -------------------------------------------------------------------------------- 1 | package lesson1; 2 | 3 | import org.nd4j.linalg.api.iter.NdIndexIterator; 4 | import org.nd4j.linalg.api.ndarray.INDArray; 5 | import org.nd4j.linalg.factory.Nd4j; 6 | 7 | /** 8 | * Created by Joe on 2017/12/27. 9 | * Getting and Setting Individual Values 10 | * 获取或者设定指定的数值 11 | */ 12 | public class Nd4jGetAndSet { 13 | public static void main(String[] args) { 14 | INDArray nd = Nd4j.create(new float[]{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}, new int[]{2, 6}); 15 | System.out.println("打印原有数组"); 16 | System.out.println(nd); 17 | 18 | /* 19 | 获取指定索引的值 20 | */ 21 | System.out.println("获取数组下标为0, 3的值"); 22 | double value = nd.getDouble(0, 3); 23 | System.out.println(value); 24 | 25 | /* 26 | 修改指定索引的值 27 | */ 28 | System.out.println("修改数组下标为0, 3的值"); 29 | //scalar 标量 30 | nd.putScalar(0, 3, 100); 31 | 32 | System.out.println(nd); 33 | /* 34 | 使用索引迭代器遍历ndarray，使用c order 35 | */ 36 | System.out.println("使用索引迭代器遍历ndarray"); 37 | NdIndexIterator iter = new NdIndexIterator(2, 6); 38 | while (iter.hasNext()) { 39 | long[] nextIndex = iter.next(); 40 | double nextVal = nd.getDouble(nextIndex); 41 | 42 | System.out.println(nextVal); 43 | } 44 | } 45 | } 46 | -------------------------------------------------------------------------------- /src/main/java/lesson1/Nd4jGetAndSetParts.java: -------------------------------------------------------------------------------- 1 | package lesson1; 2 | 3 | import org.nd4j.linalg.api.ndarray.INDArray; 4 | import org.nd4j.linalg.factory.Nd4j; 5 | 6 | /** 7 | * Created by Joe on 2017/12/27. 8 | * 获取并且设置数组部分 9 | */ 10 | public class Nd4jGetAndSetParts { 11 | public static void main(String[] args) { 12 | INDArray nd = Nd4j.create(new float[]{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}, new int[]{2, 6}); 13 | System.out.println("原始数组"); 14 | System.out.println(nd); 15 | 16 | /* 17 | 获取一行 18 | */ 19 | System.out.println("获取数组中的一行"); 20 | INDArray singleRow = nd.getRow(0); 21 | System.out.println(singleRow); 22 | 23 | /* 24 | 获取多行 25 | */ 26 | System.out.println("获取数组中的多行"); 27 | INDArray multiRows = nd.getRows(0, 1); 28 | System.out.println(multiRows); 29 | 30 | /* 31 | 替换其中的一行 32 | */ 33 | System.out.println("替换原有数组中的一行"); 34 | INDArray replaceRow = Nd4j.create(new float[]{1, 3, 5, 7, 9, 11}); 35 | nd.putRow(0, replaceRow); 36 | System.out.println(nd); 37 | } 38 | } 39 | -------------------------------------------------------------------------------- /src/main/java/lesson1/Nd4jMatrix.java: -------------------------------------------------------------------------------- 1 | package lesson1; 2 | 3 | import org.nd4j.linalg.api.ndarray.INDArray; 4 | import org.nd4j.linalg.factory.Nd4j; 5 | 6 | import java.util.Arrays; 7 | 8 | /** 9 | * Created by Joe on 2017/12/27. 10 | * Nd4j中的矩阵操作 11 | */ 12 | public class Nd4jMatrix { 13 | public static void main(String[] args) { 14 | // 1x2的行向量 15 | INDArray nd = Nd4j.create(new float[]{1,2},new int[]{1, 2}); 16 | // 2x1的列向量 17 | INDArray nd2 = Nd4j.create(new float[]{3,4},new int[]{2, 1}); //vector as column 18 | // 创造两个2x2的矩阵 19 | INDArray nd3 = Nd4j.create(new float[]{1,3,2,4},new int[]{2,2}); //elements arranged column major 20 | INDArray nd4 = Nd4j.create(new float[]{3,4,5,6},new int[]{2, 2}); 21 | 22 | //打印 23 | System.out.println(nd); 24 | System.out.println(nd2); 25 | System.out.println(nd3); 26 | 27 | //1x2 and 2x1 -> 1x1 28 | INDArray ndv = nd.mmul(nd2); 29 | System.out.println(ndv + ", shape = " + Arrays.toString(ndv.shape())); 30 | 31 | //1x2 and 2x2 -> 1x2 32 | ndv = nd.mmul(nd4); 33 | System.out.println(ndv + ", shape = " + Arrays.toString(ndv.shape())); 34 | 35 | //2x2 and 2x2 -> 2x2 36 | ndv = nd3.mmul(nd4); 37 | System.out.println(ndv + ", shape = " + Arrays.toString(ndv.shape())); 38 | } 39 | } 40 | -------------------------------------------------------------------------------- /src/main/java/lesson2/function/MathFunction.java: -------------------------------------------------------------------------------- 1 | package lesson2.function; 2 | 3 | import org.nd4j.linalg.api.ndarray.INDArray; 4 | 5 | public interface MathFunction { 6 | 7 | INDArray getFunctionValues(INDArray x); 8 | 9 | String getName(); 10 | } 11 | -------------------------------------------------------------------------------- /src/main/java/lesson2/function/SawtoothMathFunction.java: -------------------------------------------------------------------------------- 1 | package lesson2.function; 2 | 3 | import org.nd4j.linalg.api.ndarray.INDArray; 4 | import org.nd4j.linalg.factory.Nd4j; 5 | 6 | /** 7 | * This example transformes an inputted array-presumably an array representing particle 8 | * movement- such that the inputted values represent specific intervals at which a general sawtooth 9 | * wave function should be used to calculate the output 10 | * 11 | * @author Unknown 12 | * Documentation added by ERRM 13 | */ 14 | 15 | public class SawtoothMathFunction implements MathFunction { 16 | 17 | @Override 18 | public INDArray getFunctionValues(final INDArray x) { 19 | final double sawtoothPeriod = 4.0; 20 | //the input data is the intervals at which the wave is being calculated 21 | final double[] xd2 = x.data().asDouble(); 22 | final double[] yd2 = new double[xd2.length]; 23 | for (int i = 0; i < xd2.length; i++) { //Using the sawtooth wave function, find the values at the given intervals 24 | yd2[i] = 2 * (xd2[i] / sawtoothPeriod - Math.floor(xd2[i] / sawtoothPeriod + 0.5)); 25 | } 26 | return Nd4j.create(yd2, new int[]{xd2.length, 1}); //Column vector 27 | } 28 | 29 | @Override 30 | public String getName() { 31 | return "Sawtooth"; 32 | } 33 | } 34 | -------------------------------------------------------------------------------- /src/main/java/lesson2/function/SinMathFunction.java: -------------------------------------------------------------------------------- 1 | package lesson2.function; 2 | 3 | import org.nd4j.linalg.api.ndarray.INDArray; 4 | import org.nd4j.linalg.api.ops.impl.transforms.Sin; 5 | import org.nd4j.linalg.factory.Nd4j; 6 | 7 | /** 8 | * Calculate function value of sine of x. 9 | */ 10 | public class SinMathFunction implements MathFunction { 11 | 12 | @Override 13 | public INDArray getFunctionValues(final INDArray x) { 14 | return Nd4j.getExecutioner().execAndReturn(new Sin(x.dup())); 15 | } 16 | 17 | @Override 18 | public String getName() { 19 | return "Sin"; 20 | } 21 | } 22 | -------------------------------------------------------------------------------- /src/main/java/lesson2/function/SinXDivXMathFunction.java: -------------------------------------------------------------------------------- 1 | package lesson2.function; 2 | 3 | import org.nd4j.linalg.api.ndarray.INDArray; 4 | import org.nd4j.linalg.api.ops.impl.transforms.Sin; 5 | import org.nd4j.linalg.factory.Nd4j; 6 | 7 | /** 8 | * Calculate function value of sine of x divided by x. 9 | */ 10 | public class SinXDivXMathFunction implements MathFunction { 11 | 12 | @Override 13 | public INDArray getFunctionValues(final INDArray x) { 14 | return Nd4j.getExecutioner().execAndReturn(new Sin(x.dup())).div(x); 15 | } 16 | 17 | @Override 18 | public String getName() { 19 | return "SinXDivX"; 20 | } 21 | } 22 | -------------------------------------------------------------------------------- /src/main/java/lesson2/function/SquareWaveMathFunction.java: -------------------------------------------------------------------------------- 1 | package lesson2.function; 2 | 3 | import org.nd4j.linalg.api.ndarray.INDArray; 4 | import org.nd4j.linalg.api.ops.impl.transforms.Sign; 5 | import org.nd4j.linalg.api.ops.impl.transforms.Sin; 6 | import org.nd4j.linalg.factory.Nd4j; 7 | 8 | /** 9 | * Sign(x) or Sign of a real number, x, is -1 if x is negative, 0 if x is zero and 1 if x is positive. 10 | * 11 | * Calculate function value of Sign of Sine of x, which can be -1, 0 or 1. 12 | * The three possible outputs of Sign(sin) will form a line that resembles "squares" in the graph. 13 | */ 14 | public class SquareWaveMathFunction implements MathFunction { 15 | 16 | @Override 17 | public INDArray getFunctionValues(final INDArray x) { 18 | final INDArray sin = Nd4j.getExecutioner().execAndReturn(new Sin(x.dup())); 19 | return Nd4j.getExecutioner().execAndReturn(new Sign(sin)); 20 | } 21 | 22 | @Override 23 | public String getName() { 24 | return "SquareWave"; 25 | } 26 | } 27 | -------------------------------------------------------------------------------- /src/main/java/lesson2/function/TriangleWaveMathFunction.java: -------------------------------------------------------------------------------- 1 | package lesson2.function; 2 | 3 | import org.nd4j.linalg.api.ndarray.INDArray; 4 | import org.nd4j.linalg.factory.Nd4j; 5 | 6 | /** 7 | * Calculate function value of Triangle Wave, which is an absolute value of Sawtooth Wave. 8 | * 9 | */ 10 | public class TriangleWaveMathFunction implements MathFunction { 11 | 12 | @Override 13 | public INDArray getFunctionValues(final INDArray x) { 14 | final double period = 6.0; 15 | final double[] xd = x.data().asDouble(); 16 | final double[] yd = new double[xd.length]; 17 | for (int i = 0; i < xd.length; i++) { 18 | yd[i] = Math.abs(2 * (xd[i] / period - Math.floor(xd[i] / period + 0.5))); 19 | } 20 | return Nd4j.create(yd, new int[]{xd.length, 1}); //Column vector 21 | } 22 | 23 | @Override 24 | public String getName() { 25 | return "TriangleWave"; 26 | } 27 | } 28 | -------------------------------------------------------------------------------- /src/main/java/lesson7/Data.java: -------------------------------------------------------------------------------- 1 | package lesson7; 2 | 3 | import java.time.LocalDateTime; 4 | import java.util.Arrays; 5 | 6 | /** 7 | * 用于存储 8 | * Created by Joe on 2017/9/15. 9 | */ 10 | public class Data { 11 | 12 | /** 13 | * 测点数据 14 | */ 15 | private double[] datas; 16 | /** 17 | * 标签 18 | * 可以用于分类 0-正常 1-异常 19 | * 也可以用于回归 label即为数值 20 | */ 21 | private double label; 22 | 23 | public Data() { 24 | } 25 | 26 | public Data(double[] datas, double label) { 27 | this.datas = datas; 28 | this.label = label; 29 | } 30 | 31 | public double[] getDatas() { 32 | return datas; 33 | } 34 | 35 | public void setDatas(double[] datas) { 36 | this.datas = datas; 37 | } 38 | 39 | public double getLabel() { 40 | return label; 41 | } 42 | 43 | public void setLabel(double label) { 44 | this.label = label; 45 | } 46 | 47 | @Override 48 | public String toString() { 49 | return "Data{" + 50 | "datas=" + Arrays.toString(datas) + 51 | ", label=" + label + 52 | '}'; 53 | } 54 | } 55 | -------------------------------------------------------------------------------- /src/main/java/lesson7/GenerateData.java: -------------------------------------------------------------------------------- 1 | package lesson7; 2 | 3 | import java.io.BufferedWriter; 4 | import java.io.File; 5 | import java.io.FileWriter; 6 | import java.io.IOException; 7 | 8 | /** 9 | * Created by Joe on 2018/6/22. 10 | */ 11 | public class GenerateData { 12 | private static double step = 0.01; 13 | 14 | public static void main(String[] args) { 15 | // 根目录 16 | String baseDirPath = "data/"; 17 | // 文件名称 18 | String[] fileNames = {"train.csv", "test.csv"}; 19 | // 构造的数据条数 20 | int[] dataNums = {3000, 1000}; 21 | 22 | File baseDir = new File(baseDirPath); 23 | boolean mkDir = baseDir.exists() || baseDir.mkdirs(); 24 | 25 | 26 | } 27 | 28 | /** 29 | * 构造数据并且写入文件 30 | * @param baseDir 根目录 31 | * @param fileName 文件名 32 | * @param start 循环开始位置 33 | * @param nums 数据条数 34 | */ 35 | public void writeFile(File baseDir, String fileName, int start, int nums) { 36 | // 接下来创造训练集数据 37 | File train = new File(baseDir, fileName); 38 | try (BufferedWriter writer = new BufferedWriter(new FileWriter(train))) { 39 | for (int i = start; i < nums; i++) { 40 | double x = Math.sin(i * step); 41 | double y = Math.cos(i * step); 42 | writer.write(x + "," + y); 43 | writer.newLine(); 44 | } 45 | } catch (IOException e) { 46 | e.printStackTrace(); 47 | } 48 | } 49 | } 50 | -------------------------------------------------------------------------------- /src/main/resources/MNIST.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/sjsdfg/dl4j-tutorials/01eaf0802c95f160c8813c989a26eb43eaf4b2f7/src/main/resources/MNIST.zip -------------------------------------------------------------------------------- /src/main/resources/datasets/Annotations/BloodImage_00034.xml: -------------------------------------------------------------------------------- 1 | 2 | RBC 3 | BloodImage_00034 4 | /Users/cosmic/WBC_CLASSIFICATION_ANNO/RBC/BloodImage_00034.jpg 5 | 6 | Unknown 7 | 8 | 9 | 640 10 | 480 11 | 3 12 | 13 | 0 14 | 15 | RBC 16 | Unspecified 17 | 0 18 | 0 19 | 20 | 147 21 | 122 22 | 254 23 | 263 24 | 25 | 26 | 27 | RBC 28 | Unspecified 29 | 0 30 | 0 31 | 32 | 95 33 | 308 34 | 197 35 | 407 36 | 37 | 38 | 39 | RBC 40 | Unspecified 41 | 0 42 | 0 43 | 44 | 211 45 | 286 46 | 325 47 | 387 48 | 49 | 50 | 51 | RBC 52 | Unspecified 53 | 1 54 | 0 55 | 56 | 1 57 | 354 58 | 110 59 | 471 60 | 61 | 62 | 63 | RBC 64 | Unspecified 65 | 0 66 | 0 67 | 68 | 253 69 | 108 70 | 363 71 | 225 72 | 73 | 74 | 75 | RBC 76 | Unspecified 77 | 0 78 | 0 79 | 80 | 337 81 | 81 82 | 420 83 | 199 84 | 85 | 86 | 87 | RBC 88 | Unspecified 89 | 0 90 | 0 91 | 92 | 384 93 | 53 94 | 467 95 | 171 96 | 97 | 98 | 99 | -------------------------------------------------------------------------------- /src/main/resources/datasets/Annotations/BloodImage_00057.xml: -------------------------------------------------------------------------------- 1 | 2 | RBC 3 | BloodImage_00057 4 | /Users/cosmic/WBC_CLASSIFICATION_ANNO/RBC/BloodImage_00057.jpg 5 | 6 | Unknown 7 | 8 | 9 | 640 10 | 480 11 | 3 12 | 13 | 0 14 | 15 | RBC 16 | Unspecified 17 | 0 18 | 0 19 | 20 | 488 21 | 252 22 | 596 23 | 357 24 | 25 | 26 | 27 | RBC 28 | Unspecified 29 | 0 30 | 0 31 | 32 | 393 33 | 127 34 | 487 35 | 214 36 | 37 | 38 | 39 | RBC 40 | Unspecified 41 | 0 42 | 0 43 | 44 | 460 45 | 64 46 | 565 47 | 172 48 | 49 | 50 | 51 | RBC 52 | Unspecified 53 | 0 54 | 0 55 | 56 | 5 57 | 319 58 | 110 59 | 427 60 | 61 | 62 | 63 | RBC 64 | Unspecified 65 | 0 66 | 0 67 | 68 | 221 69 | 315 70 | 322 71 | 406 72 | 73 | 74 | 75 | RBC 76 | Unspecified 77 | 0 78 | 0 79 | 80 | 267 81 | 17 82 | 364 83 | 117 84 | 85 | 86 | 87 | -------------------------------------------------------------------------------- /src/main/resources/datasets/Annotations/BloodImage_00065.xml: -------------------------------------------------------------------------------- 1 | 2 | RBC 3 | BloodImage_00065 4 | /Users/cosmic/WBC_CLASSIFICATION_ANNO/RBC/BloodImage_00065.jpg 5 | 6 | Unknown 7 | 8 | 9 | 640 10 | 480 11 | 3 12 | 13 | 0 14 | 15 | RBC 16 | Unspecified 17 | 0 18 | 0 19 | 20 | 166 21 | 180 22 | 266 23 | 287 24 | 25 | 26 | 27 | RBC 28 | Unspecified 29 | 0 30 | 0 31 | 32 | 33 33 | 127 34 | 133 35 | 234 36 | 37 | 38 | 39 | RBC 40 | Unspecified 41 | 1 42 | 0 43 | 44 | 557 45 | 150 46 | 640 47 | 272 48 | 49 | 50 | 51 | RBC 52 | Unspecified 53 | 0 54 | 0 55 | 56 | 244 57 | 17 58 | 337 59 | 107 60 | 61 | 62 | 63 | RBC 64 | Unspecified 65 | 1 66 | 0 67 | 68 | 17 69 | 1 70 | 111 71 | 68 72 | 73 | 74 | 75 | -------------------------------------------------------------------------------- /src/main/resources/datasets/Annotations/BloodImage_00072.xml: -------------------------------------------------------------------------------- 1 | 2 | RBC 3 | BloodImage_00072 4 | /Users/cosmic/WBC_CLASSIFICATION_ANNO/RBC/BloodImage_00072.jpg 5 | 6 | Unknown 7 | 8 | 9 | 640 10 | 480 11 | 3 12 | 13 | 0 14 | 15 | RBC 16 | Unspecified 17 | 0 18 | 0 19 | 20 | 204 21 | 56 22 | 354 23 | 155 24 | 25 | 26 | 27 | RBC 28 | Unspecified 29 | 0 30 | 0 31 | 32 | 116 33 | 223 34 | 214 35 | 317 36 | 37 | 38 | 39 | RBC 40 | Unspecified 41 | 0 42 | 0 43 | 44 | 517 45 | 239 46 | 610 47 | 365 48 | 49 | 50 | 51 | -------------------------------------------------------------------------------- /src/main/resources/datasets/Annotations/BloodImage_00087.xml: -------------------------------------------------------------------------------- 1 | 2 | RBC 3 | BloodImage_00087 4 | /Users/cosmic/WBC_CLASSIFICATION_ANNO/RBC/BloodImage_00087.jpg 5 | 6 | Unknown 7 | 8 | 9 | 640 10 | 480 11 | 3 12 | 13 | 0 14 | 15 | RBC 16 | Unspecified 17 | 0 18 | 0 19 | 20 | 495 21 | 100 22 | 605 23 | 187 24 | 25 | 26 | 27 | RBC 28 | Unspecified 29 | 0 30 | 0 31 | 32 | 407 33 | 88 34 | 516 35 | 179 36 | 37 | 38 | 39 | RBC 40 | Unspecified 41 | 0 42 | 0 43 | 44 | 351 45 | 195 46 | 465 47 | 307 48 | 49 | 50 | 51 | RBC 52 | Unspecified 53 | 1 54 | 0 55 | 56 | 373 57 | 386 58 | 479 59 | 480 60 | 61 | 62 | 63 | RBC 64 | Unspecified 65 | 1 66 | 0 67 | 68 | 127 69 | 1 70 | 233 71 | 93 72 | 73 | 74 | 75 | RBC 76 | Unspecified 77 | 0 78 | 0 79 | 80 | 296 81 | 86 82 | 402 83 | 179 84 | 85 | 86 | 87 | RBC 88 | Unspecified 89 | 0 90 | 0 91 | 92 | 129 93 | 347 94 | 235 95 | 440 96 | 97 | 98 | 99 | -------------------------------------------------------------------------------- /src/main/resources/datasets/Annotations/BloodImage_00123.xml: -------------------------------------------------------------------------------- 1 | 2 | RBC 3 | BloodImage_00123 4 | /Users/cosmic/WBC_CLASSIFICATION_ANNO/RBC/BloodImage_00123.jpg 5 | 6 | Unknown 7 | 8 | 9 | 640 10 | 480 11 | 3 12 | 13 | 0 14 | 15 | RBC 16 | Unspecified 17 | 0 18 | 0 19 | 20 | 35 21 | 377 22 | 150 23 | 479 24 | 25 | 26 | 27 | RBC 28 | Unspecified 29 | 0 30 | 0 31 | 32 | 463 33 | 119 34 | 578 35 | 221 36 | 37 | 38 | 39 | RBC 40 | Unspecified 41 | 0 42 | 0 43 | 44 | 297 45 | 126 46 | 364 47 | 199 48 | 49 | 50 | 51 | RBC 52 | Unspecified 53 | 0 54 | 0 55 | 56 | 57 57 | 293 58 | 144 59 | 379 60 | 61 | 62 | 63 | RBC 64 | Unspecified 65 | 0 66 | 0 67 | 68 | 34 69 | 103 70 | 121 71 | 189 72 | 73 | 74 | 75 | RBC 76 | Unspecified 77 | 1 78 | 0 79 | 80 | 314 81 | 1 82 | 401 83 | 85 84 | 85 | 86 | 87 | RBC 88 | Unspecified 89 | 0 90 | 0 91 | 92 | 354 93 | 386 94 | 441 95 | 472 96 | 97 | 98 | 99 | -------------------------------------------------------------------------------- /src/main/resources/datasets/Annotations/BloodImage_00127.xml: -------------------------------------------------------------------------------- 1 | 2 | RBC 3 | BloodImage_00127 4 | /Users/cosmic/WBC_CLASSIFICATION_ANNO/RBC/BloodImage_00127.jpg 5 | 6 | Unknown 7 | 8 | 9 | 640 10 | 480 11 | 3 12 | 13 | 0 14 | 15 | RBC 16 | Unspecified 17 | 0 18 | 0 19 | 20 | 9 21 | 249 22 | 109 23 | 357 24 | 25 | 26 | 27 | RBC 28 | Unspecified 29 | 1 30 | 0 31 | 32 | 452 33 | 1 34 | 556 35 | 95 36 | 37 | 38 | 39 | RBC 40 | Unspecified 41 | 0 42 | 0 43 | 44 | 109 45 | 272 46 | 210 47 | 357 48 | 49 | 50 | 51 | RBC 52 | Unspecified 53 | 1 54 | 0 55 | 56 | 251 57 | 1 58 | 352 59 | 86 60 | 61 | 62 | 63 | RBC 64 | Unspecified 65 | 1 66 | 0 67 | 68 | 218 69 | 389 70 | 323 71 | 480 72 | 73 | 74 | 75 | -------------------------------------------------------------------------------- /src/main/resources/datasets/Annotations/BloodImage_00132.xml: -------------------------------------------------------------------------------- 1 | 2 | RBC 3 | BloodImage_00132 4 | /Users/cosmic/WBC_CLASSIFICATION_ANNO/RBC/BloodImage_00132.jpg 5 | 6 | Unknown 7 | 8 | 9 | 640 10 | 480 11 | 3 12 | 13 | 0 14 | 15 | RBC 16 | Unspecified 17 | 0 18 | 0 19 | 20 | 177 21 | 154 22 | 302 23 | 272 24 | 25 | 26 | 27 | RBC 28 | Unspecified 29 | 0 30 | 0 31 | 32 | 221 33 | 271 34 | 346 35 | 389 36 | 37 | 38 | 39 | RBC 40 | Unspecified 41 | 0 42 | 0 43 | 44 | 255 45 | 40 46 | 373 47 | 152 48 | 49 | 50 | 51 | RBC 52 | Unspecified 53 | 0 54 | 0 55 | 56 | 379 57 | 22 58 | 496 59 | 133 60 | 61 | 62 | 63 | RBC 64 | Unspecified 65 | 1 66 | 0 67 | 68 | 78 69 | 382 70 | 188 71 | 480 72 | 73 | 74 | 75 | RBC 76 | Unspecified 77 | 0 78 | 0 79 | 80 | 20 81 | 8 82 | 154 83 | 113 84 | 85 | 86 | 87 | RBC 88 | Unspecified 89 | 0 90 | 0 91 | 92 | 137 93 | 34 94 | 280 95 | 158 96 | 97 | 98 | 99 | -------------------------------------------------------------------------------- /src/main/resources/datasets/Annotations/BloodImage_00137.xml: -------------------------------------------------------------------------------- 1 | 2 | RBC 3 | BloodImage_00137 4 | /Users/cosmic/WBC_CLASSIFICATION_ANNO/RBC/BloodImage_00137.jpg 5 | 6 | Unknown 7 | 8 | 9 | 640 10 | 480 11 | 3 12 | 13 | 0 14 | 15 | RBC 16 | Unspecified 17 | 0 18 | 0 19 | 20 | 146 21 | 333 22 | 273 23 | 459 24 | 25 | 26 | 27 | RBC 28 | Unspecified 29 | 0 30 | 0 31 | 32 | 211 33 | 247 34 | 316 35 | 360 36 | 37 | 38 | 39 | RBC 40 | Unspecified 41 | 0 42 | 0 43 | 44 | 79 45 | 145 46 | 208 47 | 264 48 | 49 | 50 | 51 | RBC 52 | Unspecified 53 | 0 54 | 0 55 | 56 | 466 57 | 231 58 | 555 59 | 320 60 | 61 | 62 | 63 | -------------------------------------------------------------------------------- /src/main/resources/datasets/Annotations/BloodImage_00140.xml: -------------------------------------------------------------------------------- 1 | 2 | RBC 3 | BloodImage_00140 4 | /Users/cosmic/WBC_CLASSIFICATION_ANNO/RBC/BloodImage_00140.jpg 5 | 6 | Unknown 7 | 8 | 9 | 640 10 | 480 11 | 3 12 | 13 | 0 14 | 15 | RBC 16 | Unspecified 17 | 0 18 | 0 19 | 20 | 337 21 | 260 22 | 469 23 | 386 24 | 25 | 26 | 27 | RBC 28 | Unspecified 29 | 0 30 | 0 31 | 32 | 489 33 | 259 34 | 615 35 | 362 36 | 37 | 38 | 39 | RBC 40 | Unspecified 41 | 0 42 | 0 43 | 44 | 65 45 | 343 46 | 219 47 | 476 48 | 49 | 50 | 51 | RBC 52 | Unspecified 53 | 1 54 | 0 55 | 56 | 540 57 | 74 58 | 640 59 | 171 60 | 61 | 62 | 63 | RBC 64 | Unspecified 65 | 0 66 | 0 67 | 68 | 48 69 | 216 70 | 153 71 | 315 72 | 73 | 74 | 75 | RBC 76 | Unspecified 77 | 0 78 | 0 79 | 80 | 405 81 | 329 82 | 550 83 | 423 84 | 85 | 86 | 87 | -------------------------------------------------------------------------------- /src/main/resources/datasets/Annotations/BloodImage_00142.xml: -------------------------------------------------------------------------------- 1 | 2 | RBC 3 | BloodImage_00142 4 | /Users/cosmic/WBC_CLASSIFICATION_ANNO/RBC/BloodImage_00142.jpg 5 | 6 | Unknown 7 | 8 | 9 | 640 10 | 480 11 | 3 12 | 13 | 0 14 | 15 | RBC 16 | Unspecified 17 | 0 18 | 0 19 | 20 | 335 21 | 54 22 | 466 23 | 163 24 | 25 | 26 | 27 | RBC 28 | Unspecified 29 | 0 30 | 0 31 | 32 | 403 33 | 170 34 | 517 35 | 274 36 | 37 | 38 | 39 | RBC 40 | Unspecified 41 | 0 42 | 0 43 | 44 | 485 45 | 201 46 | 598 47 | 284 48 | 49 | 50 | 51 | RBC 52 | Unspecified 53 | 1 54 | 0 55 | 56 | 348 57 | 372 58 | 441 59 | 480 60 | 61 | 62 | 63 | RBC 64 | Unspecified 65 | 0 66 | 0 67 | 68 | 18 69 | 276 70 | 111 71 | 384 72 | 73 | 74 | 75 | RBC 76 | Unspecified 77 | 0 78 | 0 79 | 80 | 101 81 | 12 82 | 206 83 | 117 84 | 85 | 86 | 87 | -------------------------------------------------------------------------------- /src/main/resources/datasets/Annotations/BloodImage_00143.xml: -------------------------------------------------------------------------------- 1 | 2 | RBC 3 | BloodImage_00143 4 | /Users/cosmic/WBC_CLASSIFICATION_ANNO/RBC/BloodImage_00143.jpg 5 | 6 | Unknown 7 | 8 | 9 | 640 10 | 480 11 | 3 12 | 13 | 0 14 | 15 | RBC 16 | Unspecified 17 | 0 18 | 0 19 | 20 | 344 21 | 274 22 | 448 23 | 392 24 | 25 | 26 | 27 | RBC 28 | Unspecified 29 | 0 30 | 0 31 | 32 | 416 33 | 371 34 | 572 35 | 461 36 | 37 | 38 | 39 | RBC 40 | Unspecified 41 | 0 42 | 0 43 | 44 | 417 45 | 176 46 | 504 47 | 277 48 | 49 | 50 | 51 | RBC 52 | Unspecified 53 | 0 54 | 0 55 | 56 | 472 57 | 175 58 | 581 59 | 275 60 | 61 | 62 | 63 | RBC 64 | Unspecified 65 | 0 66 | 0 67 | 68 | 340 69 | 38 70 | 444 71 | 156 72 | 73 | 74 | 75 | -------------------------------------------------------------------------------- /src/main/resources/datasets/Annotations/BloodImage_00144.xml: -------------------------------------------------------------------------------- 1 | 2 | RBC 3 | BloodImage_00144 4 | /Users/cosmic/WBC_CLASSIFICATION_ANNO/RBC/BloodImage_00144.jpg 5 | 6 | Unknown 7 | 8 | 9 | 640 10 | 480 11 | 3 12 | 13 | 0 14 | 15 | RBC 16 | Unspecified 17 | 1 18 | 0 19 | 20 | 86 21 | 1 22 | 208 23 | 101 24 | 25 | 26 | 27 | RBC 28 | Unspecified 29 | 0 30 | 0 31 | 32 | 116 33 | 66 34 | 242 35 | 195 36 | 37 | 38 | 39 | RBC 40 | Unspecified 41 | 1 42 | 0 43 | 44 | 185 45 | 1 46 | 310 47 | 76 48 | 49 | 50 | 51 | RBC 52 | Unspecified 53 | 0 54 | 0 55 | 56 | 508 57 | 94 58 | 606 59 | 190 60 | 61 | 62 | 63 | RBC 64 | Unspecified 65 | 0 66 | 0 67 | 68 | 2 69 | 285 70 | 80 71 | 387 72 | 73 | 74 | 75 | RBC 76 | Unspecified 77 | 1 78 | 0 79 | 80 | 566 81 | 337 82 | 640 83 | 422 84 | 85 | 86 | 87 | -------------------------------------------------------------------------------- /src/main/resources/datasets/Annotations/BloodImage_00148.xml: -------------------------------------------------------------------------------- 1 | 2 | RBC 3 | BloodImage_00148 4 | /Users/cosmic/WBC_CLASSIFICATION_ANNO/RBC/BloodImage_00148.jpg 5 | 6 | Unknown 7 | 8 | 9 | 640 10 | 480 11 | 3 12 | 13 | 0 14 | 15 | RBC 16 | Unspecified 17 | 0 18 | 0 19 | 20 | 404 21 | 253 22 | 511 23 | 356 24 | 25 | 26 | 27 | RBC 28 | Unspecified 29 | 0 30 | 0 31 | 32 | 278 33 | 300 34 | 385 35 | 403 36 | 37 | 38 | 39 | RBC 40 | Unspecified 41 | 0 42 | 0 43 | 44 | 501 45 | 170 46 | 608 47 | 273 48 | 49 | 50 | 51 | RBC 52 | Unspecified 53 | 1 54 | 0 55 | 56 | 86 57 | 1 58 | 193 59 | 124 60 | 61 | 62 | 63 | -------------------------------------------------------------------------------- /src/main/resources/datasets/Annotations/BloodImage_00154.xml: -------------------------------------------------------------------------------- 1 | 2 | RBC 3 | BloodImage_00154 4 | /Users/cosmic/WBC_CLASSIFICATION_ANNO/RBC/BloodImage_00154.jpg 5 | 6 | Unknown 7 | 8 | 9 | 640 10 | 480 11 | 3 12 | 13 | 0 14 | 15 | RBC 16 | Unspecified 17 | 0 18 | 0 19 | 20 | 208 21 | 278 22 | 312 23 | 400 24 | 25 | 26 | 27 | RBC 28 | Unspecified 29 | 0 30 | 0 31 | 32 | 247 33 | 232 34 | 351 35 | 337 36 | 37 | 38 | 39 | RBC 40 | Unspecified 41 | 0 42 | 0 43 | 44 | 325 45 | 163 46 | 429 47 | 268 48 | 49 | 50 | 51 | RBC 52 | Unspecified 53 | 0 54 | 0 55 | 56 | 257 57 | 105 58 | 361 59 | 210 60 | 61 | 62 | 63 | RBC 64 | Unspecified 65 | 1 66 | 0 67 | 68 | 100 69 | 393 70 | 247 71 | 480 72 | 73 | 74 | 75 | RBC 76 | Unspecified 77 | 1 78 | 0 79 | 80 | 1 81 | 60 82 | 104 83 | 165 84 | 85 | 86 | 87 | -------------------------------------------------------------------------------- /src/main/resources/datasets/Annotations/BloodImage_00157.xml: -------------------------------------------------------------------------------- 1 | 2 | RBC 3 | BloodImage_00157 4 | /Users/cosmic/WBC_CLASSIFICATION_ANNO/RBC/BloodImage_00157.jpg 5 | 6 | Unknown 7 | 8 | 9 | 640 10 | 480 11 | 3 12 | 13 | 0 14 | 15 | RBC 16 | Unspecified 17 | 0 18 | 0 19 | 20 | 108 21 | 147 22 | 217 23 | 248 24 | 25 | 26 | 27 | RBC 28 | Unspecified 29 | 0 30 | 0 31 | 32 | 523 33 | 128 34 | 632 35 | 229 36 | 37 | 38 | 39 | RBC 40 | Unspecified 41 | 0 42 | 0 43 | 44 | 365 45 | 355 46 | 495 47 | 456 48 | 49 | 50 | 51 | -------------------------------------------------------------------------------- /src/main/resources/datasets/Annotations/BloodImage_00158.xml: -------------------------------------------------------------------------------- 1 | 2 | RBC 3 | BloodImage_00158 4 | /Users/cosmic/WBC_CLASSIFICATION_ANNO/RBC/BloodImage_00158.jpg 5 | 6 | Unknown 7 | 8 | 9 | 640 10 | 480 11 | 3 12 | 13 | 0 14 | 15 | RBC 16 | Unspecified 17 | 0 18 | 0 19 | 20 | 237 21 | 344 22 | 325 23 | 436 24 | 25 | 26 | 27 | RBC 28 | Unspecified 29 | 0 30 | 0 31 | 32 | 148 33 | 177 34 | 236 35 | 269 36 | 37 | 38 | 39 | RBC 40 | Unspecified 41 | 0 42 | 0 43 | 44 | 475 45 | 343 46 | 597 47 | 465 48 | 49 | 50 | 51 | RBC 52 | Unspecified 53 | 0 54 | 0 55 | 56 | 267 57 | 221 58 | 354 59 | 325 60 | 61 | 62 | 63 | RBC 64 | Unspecified 65 | 0 66 | 0 67 | 68 | 42 69 | 63 70 | 136 71 | 152 72 | 73 | 74 | 75 | -------------------------------------------------------------------------------- /src/main/resources/datasets/Annotations/BloodImage_00159.xml: -------------------------------------------------------------------------------- 1 | 2 | RBC 3 | BloodImage_00159 4 | /Users/cosmic/WBC_CLASSIFICATION_ANNO/RBC/BloodImage_00159.jpg 5 | 6 | Unknown 7 | 8 | 9 | 640 10 | 480 11 | 3 12 | 13 | 0 14 | 15 | RBC 16 | Unspecified 17 | 0 18 | 0 19 | 20 | 239 21 | 6 22 | 331 23 | 103 24 | 25 | 26 | 27 | RBC 28 | Unspecified 29 | 0 30 | 0 31 | 32 | 487 33 | 20 34 | 620 35 | 137 36 | 37 | 38 | 39 | RBC 40 | Unspecified 41 | 0 42 | 0 43 | 44 | 418 45 | 171 46 | 524 47 | 282 48 | 49 | 50 | 51 | RBC 52 | Unspecified 53 | 0 54 | 0 55 | 56 | 487 57 | 253 58 | 598 59 | 363 60 | 61 | 62 | 63 | RBC 64 | Unspecified 65 | 1 66 | 0 67 | 68 | 274 69 | 382 70 | 384 71 | 480 72 | 73 | 74 | 75 | -------------------------------------------------------------------------------- /src/main/resources/datasets/Annotations/BloodImage_00163.xml: -------------------------------------------------------------------------------- 1 | 2 | RBC 3 | BloodImage_00163 4 | /Users/cosmic/WBC_CLASSIFICATION_ANNO/RBC/BloodImage_00163.jpg 5 | 6 | Unknown 7 | 8 | 9 | 640 10 | 480 11 | 3 12 | 13 | 0 14 | 15 | RBC 16 | Unspecified 17 | 0 18 | 0 19 | 20 | 474 21 | 80 22 | 575 23 | 176 24 | 25 | 26 | 27 | RBC 28 | Unspecified 29 | 0 30 | 0 31 | 32 | 405 33 | 78 34 | 506 35 | 174 36 | 37 | 38 | 39 | RBC 40 | Unspecified 41 | 0 42 | 0 43 | 44 | 453 45 | 227 46 | 550 47 | 348 48 | 49 | 50 | 51 | RBC 52 | Unspecified 53 | 0 54 | 0 55 | 56 | 64 57 | 89 58 | 161 59 | 210 60 | 61 | 62 | 63 | RBC 64 | Unspecified 65 | 1 66 | 0 67 | 68 | 1 69 | 330 70 | 87 71 | 434 72 | 73 | 74 | 75 | RBC 76 | Unspecified 77 | 0 78 | 0 79 | 80 | 277 81 | 301 82 | 389 83 | 394 84 | 85 | 86 | 87 | -------------------------------------------------------------------------------- /src/main/resources/datasets/Annotations/BloodImage_00183.xml: -------------------------------------------------------------------------------- 1 | 2 | RBC 3 | BloodImage_00183 4 | /Users/cosmic/WBC_CLASSIFICATION_ANNO/RBC/BloodImage_00183.jpg 5 | 6 | Unknown 7 | 8 | 9 | 640 10 | 480 11 | 3 12 | 13 | 0 14 | 15 | RBC 16 | Unspecified 17 | 0 18 | 0 19 | 20 | 234 21 | 307 22 | 343 23 | 423 24 | 25 | 26 | 27 | RBC 28 | Unspecified 29 | 0 30 | 0 31 | 32 | 415 33 | 219 34 | 550 35 | 359 36 | 37 | 38 | 39 | RBC 40 | Unspecified 41 | 0 42 | 0 43 | 44 | 69 45 | 126 46 | 178 47 | 242 48 | 49 | 50 | 51 | RBC 52 | Unspecified 53 | 1 54 | 0 55 | 56 | 288 57 | 1 58 | 397 59 | 97 60 | 61 | 62 | 63 | RBC 64 | Unspecified 65 | 1 66 | 0 67 | 68 | 572 69 | 330 70 | 640 71 | 434 72 | 73 | 74 | 75 | RBC 76 | Unspecified 77 | 1 78 | 0 79 | 80 | 101 81 | 378 82 | 214 83 | 480 84 | 85 | 86 | 87 | RBC 88 | Unspecified 89 | 0 90 | 0 91 | 92 | 58 93 | 8 94 | 156 95 | 108 96 | 97 | 98 | 99 | -------------------------------------------------------------------------------- /src/main/resources/datasets/Annotations/BloodImage_00193.xml: -------------------------------------------------------------------------------- 1 | 2 | RBC 3 | BloodImage_00193 4 | /Users/cosmic/WBC_CLASSIFICATION_ANNO/RBC/BloodImage_00193.jpg 5 | 6 | Unknown 7 | 8 | 9 | 640 10 | 480 11 | 3 12 | 13 | 0 14 | 15 | RBC 16 | Unspecified 17 | 0 18 | 0 19 | 20 | 159 21 | 300 22 | 258 23 | 399 24 | 25 | 26 | 27 | RBC 28 | Unspecified 29 | 0 30 | 0 31 | 32 | 480 33 | 297 34 | 584 35 | 379 36 | 37 | 38 | 39 | RBC 40 | Unspecified 41 | 0 42 | 0 43 | 44 | 130 45 | 183 46 | 238 47 | 286 48 | 49 | 50 | 51 | RBC 52 | Unspecified 53 | 0 54 | 0 55 | 56 | 210 57 | 196 58 | 326 59 | 324 60 | 61 | 62 | 63 | RBC 64 | Unspecified 65 | 0 66 | 0 67 | 68 | 376 69 | 305 70 | 489 71 | 403 72 | 73 | 74 | 75 | RBC 76 | Unspecified 77 | 0 78 | 0 79 | 80 | 136 81 | 55 82 | 238 83 | 143 84 | 85 | 86 | 87 | RBC 88 | Unspecified 89 | 1 90 | 0 91 | 92 | 359 93 | 1 94 | 483 95 | 97 96 | 97 | 98 | 99 | -------------------------------------------------------------------------------- /src/main/resources/datasets/Annotations/BloodImage_00233.xml: -------------------------------------------------------------------------------- 1 | 2 | RBC 3 | BloodImage_00233 4 | /Users/cosmic/WBC_CLASSIFICATION_ANNO/RBC/BloodImage_00233.jpg 5 | 6 | Unknown 7 | 8 | 9 | 640 10 | 480 11 | 3 12 | 13 | 0 14 | 15 | RBC 16 | Unspecified 17 | 1 18 | 0 19 | 20 | 1 21 | 164 22 | 89 23 | 257 24 | 25 | 26 | 27 | RBC 28 | Unspecified 29 | 0 30 | 0 31 | 32 | 46 33 | 67 34 | 171 35 | 177 36 | 37 | 38 | 39 | RBC 40 | Unspecified 41 | 0 42 | 0 43 | 44 | 289 45 | 88 46 | 396 47 | 196 48 | 49 | 50 | 51 | RBC 52 | Unspecified 53 | 0 54 | 0 55 | 56 | 357 57 | 185 58 | 454 59 | 271 60 | 61 | 62 | 63 | RBC 64 | Unspecified 65 | 0 66 | 0 67 | 68 | 97 69 | 320 70 | 230 71 | 441 72 | 73 | 74 | 75 | RBC 76 | Unspecified 77 | 0 78 | 0 79 | 80 | 13 81 | 324 82 | 99 83 | 395 84 | 85 | 86 | 87 | -------------------------------------------------------------------------------- /src/main/resources/datasets/Annotations/BloodImage_00235.xml: -------------------------------------------------------------------------------- 1 | 2 | RBC 3 | BloodImage_00235 4 | /Users/cosmic/WBC_CLASSIFICATION_ANNO/RBC/BloodImage_00235.jpg 5 | 6 | Unknown 7 | 8 | 9 | 640 10 | 480 11 | 3 12 | 13 | 0 14 | 15 | RBC 16 | Unspecified 17 | 1 18 | 0 19 | 20 | 1 21 | 166 22 | 89 23 | 283 24 | 25 | 26 | 27 | RBC 28 | Unspecified 29 | 0 30 | 0 31 | 32 | 147 33 | 207 34 | 251 35 | 326 36 | 37 | 38 | 39 | RBC 40 | Unspecified 41 | 0 42 | 0 43 | 44 | 480 45 | 343 46 | 604 47 | 468 48 | 49 | 50 | 51 | -------------------------------------------------------------------------------- /src/main/resources/datasets/Annotations/BloodImage_00236.xml: -------------------------------------------------------------------------------- 1 | 2 | RBC 3 | BloodImage_00236 4 | /Users/cosmic/WBC_CLASSIFICATION_ANNO/RBC/BloodImage_00236.jpg 5 | 6 | Unknown 7 | 8 | 9 | 640 10 | 480 11 | 3 12 | 13 | 0 14 | 15 | RBC 16 | Unspecified 17 | 0 18 | 0 19 | 20 | 514 21 | 187 22 | 633 23 | 293 24 | 25 | 26 | 27 | RBC 28 | Unspecified 29 | 0 30 | 0 31 | 32 | 381 33 | 53 34 | 486 35 | 191 36 | 37 | 38 | 39 | RBC 40 | Unspecified 41 | 0 42 | 0 43 | 44 | 222 45 | 16 46 | 354 47 | 137 48 | 49 | 50 | 51 | RBC 52 | Unspecified 53 | 0 54 | 0 55 | 56 | 51 57 | 140 58 | 126 59 | 221 60 | 61 | 62 | 63 | RBC 64 | Unspecified 65 | 1 66 | 0 67 | 68 | 1 69 | 100 70 | 63 71 | 208 72 | 73 | 74 | 75 | RBC 76 | Unspecified 77 | 0 78 | 0 79 | 80 | 406 81 | 208 82 | 518 83 | 313 84 | 85 | 86 | 87 | -------------------------------------------------------------------------------- /src/main/resources/datasets/Annotations/BloodImage_00241.xml: -------------------------------------------------------------------------------- 1 | 2 | RBC 3 | BloodImage_00241 4 | /Users/cosmic/WBC_CLASSIFICATION_ANNO/RBC/BloodImage_00241.jpg 5 | 6 | Unknown 7 | 8 | 9 | 640 10 | 480 11 | 3 12 | 13 | 0 14 | 15 | RBC 16 | Unspecified 17 | 0 18 | 0 19 | 20 | 396 21 | 113 22 | 492 23 | 207 24 | 25 | 26 | 27 | RBC 28 | Unspecified 29 | 0 30 | 0 31 | 32 | 183 33 | 119 34 | 277 35 | 285 36 | 37 | 38 | 39 | RBC 40 | Unspecified 41 | 0 42 | 0 43 | 44 | 372 45 | 205 46 | 477 47 | 316 48 | 49 | 50 | 51 | RBC 52 | Unspecified 53 | 0 54 | 0 55 | 56 | 490 57 | 91 58 | 624 59 | 235 60 | 61 | 62 | 63 | RBC 64 | Unspecified 65 | 1 66 | 0 67 | 68 | 527 69 | 1 70 | 640 71 | 97 72 | 73 | 74 | 75 | RBC 76 | Unspecified 77 | 0 78 | 0 79 | 80 | 92 81 | 264 82 | 202 83 | 370 84 | 85 | 86 | 87 | -------------------------------------------------------------------------------- /src/main/resources/datasets/Annotations/BloodImage_00256.xml: -------------------------------------------------------------------------------- 1 | 2 | RBC 3 | BloodImage_00256 4 | /Users/cosmic/WBC_CLASSIFICATION_ANNO/RBC/BloodImage_00256.jpg 5 | 6 | Unknown 7 | 8 | 9 | 640 10 | 480 11 | 3 12 | 13 | 0 14 | 15 | RBC 16 | Unspecified 17 | 0 18 | 0 19 | 20 | 455 21 | 132 22 | 596 23 | 259 24 | 25 | 26 | 27 | RBC 28 | Unspecified 29 | 1 30 | 0 31 | 32 | 1 33 | 85 34 | 110 35 | 175 36 | 37 | 38 | 39 | RBC 40 | Unspecified 41 | 0 42 | 0 43 | 44 | 296 45 | 40 46 | 423 47 | 131 48 | 49 | 50 | 51 | RBC 52 | Unspecified 53 | 0 54 | 0 55 | 56 | 115 57 | 205 58 | 211 59 | 305 60 | 61 | 62 | 63 | RBC 64 | Unspecified 65 | 0 66 | 0 67 | 68 | 58 69 | 136 70 | 154 71 | 236 72 | 73 | 74 | 75 | -------------------------------------------------------------------------------- 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30 | 178;199 31 | 199;199 32 | 199;184 33 | 184;162 34 | 162;146 35 | 146;166 36 | 166;171 37 | 171;180 38 | 180;193 39 | 193;181 40 | 181;183 41 | 183;218 42 | 218;230 43 | 230;242 44 | 242;209 45 | 209;191 46 | 191;172 47 | 172;194 48 | 194;196 49 | 196;196 50 | 196;236 51 | 236;235 52 | 235;229 53 | 229;243 54 | 243;264 55 | 264;272 56 | 272;237 57 | 237;211 58 | 211;180 59 | 180;201 60 | 201;204 61 | 204;188 62 | 188;235 63 | 235;227 64 | 227;234 65 | 234;264 66 | 264;302 67 | 302;293 68 | 293;259 69 | 259;229 70 | 229;203 71 | 203;229 72 | 229;242 73 | 242;233 74 | 233;267 75 | 267;269 76 | 269;270 77 | 270;315 78 | 315;364 79 | 364;347 80 | 347;312 81 | 312;274 82 | 274;237 83 | 237;278 84 | 278;284 85 | 284;277 86 | 277;317 87 | 317;313 88 | 313;318 89 | 318;374 90 | 374;413 91 | 413;405 92 | 405;355 93 | 355;306 94 | 306;271 95 | 271;306 96 | 306;315 97 | 315;301 98 | 301;356 99 | 356;348 100 | 348;355 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-------------------------------------------------------------------------------- 1 | import tensorflow as tf 2 | from tensorflow.python.tools import freeze_graph 3 | 4 | # change this to where your model was saved in the other python file 5 | save_dir = "/Users/susaneraly/Desktop/saved_model" 6 | 7 | if "susaneraly" in save_dir: 8 | raise ValueError("Please change save_dir to the local path your original model was saved to") 9 | 10 | try: 11 | checkpoint = tf.train.get_checkpoint_state(save_dir) 12 | input_checkpoint = checkpoint.model_checkpoint_path 13 | except: 14 | raise ValueError("Could not read checkpoint state for path {}".format("/Users/susaneraly/Desktop/saved_model")) 15 | 16 | input_graph = "{}/model.txt".format(save_dir) 17 | output_graph = "{}/frozen_model.pb".format(save_dir) 18 | # You can also run this on the command line which is much easier 19 | # More information on freezing graphs are found in the TensorFlow documentation 20 | # https://www.tensorflow.org/extend/tool_developers/#freezing 21 | # Modify these in accordance with your graph! These are the default options..TF complains if these are not provided. Hence cleaner to run on the command line 22 | freeze_graph.freeze_graph(input_graph=input_graph, 23 | input_saver="", 24 | input_checkpoint=input_checkpoint, 25 | output_graph=output_graph, 26 | input_binary=False, 27 | output_node_names="output", # change this to match your graph 28 | restore_op_name="save/restore_all", 29 | filename_tensor_name="save/Const:0", 30 | clear_devices=True, 31 | initializer_nodes="") 32 | 33 | with tf.gfile.GFile(output_graph, "rb") as f: 34 | graph_def = tf.GraphDef() 35 | graph_def.ParseFromString(f.read()) 36 | tf.train.write_graph(graph_def, save_dir, 'frozen_graph.pbtxt', True) 37 | 38 | -------------------------------------------------------------------------------- /src/main/resources/tensorflow/frozen_model.pb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/sjsdfg/dl4j-tutorials/01eaf0802c95f160c8813c989a26eb43eaf4b2f7/src/main/resources/tensorflow/frozen_model.pb -------------------------------------------------------------------------------- /src/main/resources/tensorflow/input_a.shape: -------------------------------------------------------------------------------- 1 | 1 2 | 784 3 | -------------------------------------------------------------------------------- /src/main/resources/tensorflow/input_b.shape: -------------------------------------------------------------------------------- 1 | 1 2 | 784 3 | -------------------------------------------------------------------------------- /src/main/resources/tensorflow/prediction_a.csv: -------------------------------------------------------------------------------- 1 | 0.00000000 2 | 0.00000000 3 | 0.00000000 4 | 0.00000000 5 | 0.00000000 6 | 0.00000000 7 | 0.00000000 8 | 1.00000000 9 | 0.00000000 10 | 0.00000000 11 | -------------------------------------------------------------------------------- /src/main/resources/tensorflow/prediction_a.shape: -------------------------------------------------------------------------------- 1 | 1 2 | 10 3 | -------------------------------------------------------------------------------- /src/main/resources/tensorflow/prediction_b.csv: -------------------------------------------------------------------------------- 1 | 0.00000000 2 | 0.00000000 3 | 1.00000000 4 | 0.00000000 5 | 0.00000000 6 | 0.00000000 7 | 0.00000000 8 | 0.00000000 9 | 0.00000000 10 | 0.00000000 11 | -------------------------------------------------------------------------------- /src/main/resources/tensorflow/prediction_b.shape: -------------------------------------------------------------------------------- 1 | 1 2 | 10 3 | --------------------------------------------------------------------------------