├── .gitignore ├── .idea ├── deployment.xml ├── other.xml └── vcs.xml ├── 0.1.Fundamental_Neural_Network ├── ex1 │ ├── .ipynb_checkpoints │ │ └── ex1-checkpoint.ipynb │ ├── data │ │ ├── ex1data1.txt │ │ └── ex1data2.txt │ ├── ex1.pdf │ └── ex1_jemin.ipynb ├── ex2 │ ├── .ipynb_checkpoints │ │ └── ex2-checkpoint.ipynb │ ├── data │ │ ├── ex2data1.txt │ │ └── ex2data2.txt │ ├── ex2.pdf │ └── ex2_jemin.ipynb ├── ex3 │ ├── .ipynb_checkpoints │ │ └── ex3-checkpoint.ipynb │ ├── data │ │ ├── ex3data1.mat │ │ └── ex3weights.mat │ ├── ex3.pdf │ └── ex3_jemin.ipynb └── ex4 │ ├── data │ ├── ex4data1.mat │ └── ex4weights.mat │ ├── ex4.pdf │ ├── ex4_jemin.ipynb │ └── example_fmin_cg.ipynb ├── 0.2.Basic ├── Basic Tutorial.ipynb ├── Basic_usageOfConstant.py ├── Basic_usageOfPlaceholder.py ├── Basic_usageOfVariables.py ├── __init__.py ├── basic.py ├── hellowTensorFlow.py └── log_simple_stats │ ├── events.out.tfevents.1485839642.jemin-desktop │ ├── events.out.tfevents.1485839723.jemin-desktop │ ├── events.out.tfevents.1485839766.jemin-desktop │ ├── events.out.tfevents.1485839778.jemin-desktop │ ├── events.out.tfevents.1485839840.jemin-desktop │ └── events.out.tfevents.1485840189.jemin-desktop ├── 1.Linear Regression ├── LinearRegression.py ├── __init__.py ├── multiFeaturesTrain.txt └── multiVariableLinearRegression.py ├── 10.Transfer Learning └── Transfer Learning.ipynb ├── 2.Logistic Classification ├── LogisticRegressionBasic.py ├── SoftmaxClassification.py ├── __init__.py ├── logisticTrain.txt └── softmaxTrain.txt ├── 3.XOR ├── XORtrain.txt ├── XORwithLogisticRegression.py ├── XORwithNN.py └── __init__.py ├── 4.MNIST ├── DNN_DropoutForMNIST.py ├── DNNforMNIST.py ├── MNIST_DATA │ ├── t10k-images-idx3-ubyte.gz │ ├── t10k-labels-idx1-ubyte.gz │ ├── train-images-idx3-ubyte.gz │ └── train-labels-idx1-ubyte.gz ├── MNIST_Tutorial_DNN.ipynb ├── SoftmaxClassificationMNIST.py ├── __init__.py ├── googleLayers.py └── input_data.py ├── 5.CNN ├── CNNforMNIST-tensorboard.ipynb ├── CNNforMNIST.ipynb ├── CNNforMNIST.py ├── CNNforMNIST2.py ├── Cnn_layer.png ├── MNIST_DATA │ ├── t10k-images-idx3-ubyte.gz │ ├── t10k-labels-idx1-ubyte.gz │ ├── train-images-idx3-ubyte.gz │ └── train-labels-idx1-ubyte.gz ├── big_cnn.png ├── googleLayers.py ├── input_data.py ├── mycnn.JPG └── tf_board.py ├── 6.Early Stop and Index Shuffling └── EarlyStop.py ├── 7.TensorBoard ├── MNIST_DATA │ └── data │ │ ├── t10k-images-idx3-ubyte.gz │ │ ├── t10k-labels-idx1-ubyte.gz │ │ ├── train-images-idx3-ubyte.gz │ │ └── train-labels-idx1-ubyte.gz ├── TensorBoard.ipynb ├── TensorBoard.py ├── XORtrain.txt ├── __init__.py ├── labels_1024.tsv ├── logs │ └── xor_logs │ │ ├── events.out.tfevents.1486346805.jemin-desktop │ │ ├── events.out.tfevents.1486346813.jemin-desktop │ │ └── events.out.tfevents.1486346816.jemin-desktop └── mnist.py ├── 8.Save and Restore └── Save and Restore.ipynb ├── 9.RNN ├── RealMarketPriceDataPT.csv ├── data-02-stock_daily.csv ├── gp-for-sine-wave.ipynb ├── gp-for-sine-wave.py 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