├── BasicMathematicsForArtificialIntelligence └── README.md ├── DataSet_conversion ├── COCO_extract_person_label.py ├── CrownHuman_dataset_convert.py ├── split_train_val.py ├── voc_format.py └── xml2json.py ├── DeepLearningObjectDetection ├── Keras-SSD │ ├── README.md │ ├── VOCdevkit │ │ └── VOC2007 │ │ │ ├── Annotations │ │ │ └── README.md │ │ │ ├── ImageSets │ │ │ └── Main │ │ │ │ └── README.md │ │ │ ├── JPEGImages │ │ │ └── README.md │ │ │ └── voc2ssd.py │ ├── VisionForPriorBox.py │ ├── __pycache__ │ │ └── ssd.cpython-36.pyc │ ├── img │ │ ├── 000005.jpg │ │ ├── 000007.jpg │ │ ├── 000009.jpg │ │ └── 000012.jpg │ ├── logs │ │ └── README.md │ ├── model_data │ │ ├── README.md │ │ ├── prior_boxes_ssd300.pkl │ │ ├── simhei.ttf │ │ └── voc_classes.txt │ ├── nets │ │ ├── VGG16.py │ │ ├── __pycache__ │ │ │ ├── VGG16.cpython-36.pyc │ │ │ ├── ssd.cpython-36.pyc │ │ │ └── ssd_layers.cpython-36.pyc │ │ ├── ssd.py │ │ ├── ssd_layers.py │ │ └── ssd_training.py │ ├── predict.py │ ├── ssd.py │ ├── test.py │ ├── train.py │ ├── utils │ │ ├── __pycache__ │ │ │ └── utils.cpython-36.pyc │ │ └── utils.py │ └── voc_annotation.py ├── PyTorch-YOLOv3 │ ├── README.md │ ├── assets │ │ ├── dog.png │ │ ├── giraffe.png │ │ ├── messi.png │ │ └── traffic.png │ ├── config │ │ ├── coco.data │ │ ├── create_custom_model.sh │ │ ├── custom.data │ │ ├── yolov3-tiny.cfg │ │ └── yolov3.cfg │ ├── data │ │ ├── coco.names │ │ ├── custom │ │ │ ├── classes.names │ │ │ ├── images │ │ │ │ └── train.jpg │ │ │ ├── labels │ │ │ │ └── train.txt │ │ │ ├── train.txt │ │ │ └── valid.txt │ │ ├── get_coco_dataset.sh │ │ ├── samples │ │ │ ├── dog.jpg │ │ │ ├── eagle.jpg │ │ │ ├── field.jpg │ │ │ ├── giraffe.jpg │ │ │ ├── herd_of_horses.jpg │ │ │ ├── messi.jpg │ │ │ ├── person.jpg │ │ │ ├── room.jpg │ │ │ └── street.jpg │ │ ├── train.txt │ │ └── valid.txt │ ├── detect.py │ ├── models.py │ ├── requirements.txt │ ├── test.py │ ├── train.py │ └── utils │ │ ├── augmentations.py │ │ ├── datasets.py │ │ ├── logger.py │ │ ├── parse_config.py │ │ └── utils.py └── README.md ├── DeepLearningPapersTranslation └── README.md ├── KerasLearningNote ├── Keras-my-train-model │ ├── README.md │ ├── custom_layers.py │ ├── densenetloss121_1_1.jpg │ ├── densenetloss121_1_3.jpg │ ├── densenetloss121_2_1.jpg │ ├── densenetloss121_2_3.jpg │ ├── densenetloss_1_1.jpg │ ├── densenetloss_1_3.jpg │ ├── densenetloss_2_1.jpg │ ├── densenetloss_2_3.jpg │ ├── lenetloss_1_1.jpg │ ├── lenetloss_1_3.jpg │ ├── lenetloss_2_1.jpg │ ├── lenetloss_2_3.jpg │ ├── myalexnet.py │ ├── mycode_AlexNet.py │ ├── mycode_DenseNet.py │ ├── mycode_LeNet.py │ ├── mycode_ResNet.py │ ├── mycode_VGGNet.py │ ├── mycode_ZFNet.py │ ├── mydensenet.py │ ├── mydensenet121.py │ ├── mylenet.py │ ├── myresnet50.py │ ├── myvggnet.py │ ├── myzfnet.py │ ├── resnetloss_1_1.jpg │ ├── resnetloss_1_3.jpg │ ├── resnetloss_2_1.jpg │ ├── resnetloss_2_3.jpg │ ├── vggnetloss_1_1.jpg │ ├── vggnetloss_1_3.jpg │ ├── vggnetloss_2_1.jpg │ ├── vggnetloss_2_3.jpg │ ├── zfnetloss_1_1.jpg │ ├── zfnetloss_1_3.jpg │ ├── zfnetloss_2_1.jpg │ └── zfnetloss_2_3.jpg ├── KerasCode_1 │ ├── Keras_h5topb.py │ ├── Keras_h5totflile.py │ ├── UsingPbPredict.py │ └── keras_parctice1.py ├── KerasCode_2 │ ├── Keras_cifar10.py │ ├── keras_CNNparctice1.py │ ├── keras_CNNparctice2.py │ ├── keras_DataEnhancement.py │ └── keras_PredictModel.py ├── KerasCode_3 │ ├── keras_ExtractBottleneckFeature.py │ ├── keras_FineTuningCompleteCode.py │ ├── keras_SaveBottleneckFeature.py │ ├── keras_funeTuning.py │ ├── keras_parcticeCompleteCode.py │ └── keras_parcticeCompleteCode1.py ├── KerasCode_4 │ ├── Keras_VGG16.py │ ├── keras_FinetuneInceptionV3.py │ ├── keras_MusicTaggerCRNNcode.py │ ├── keras_ResNet50Application.py │ ├── keras_VGG16Application.py │ ├── keras_VGG19Application.py │ └── keras_parcticeCompleteCode.py ├── KerasCode_5 │ ├── keras_parcticeCNN1.py │ ├── keras_parcticeCNN2.py │ ├── keras_parcticeCNN3.py │ ├── keras_parcticeLSTM.py │ └── keras_recordLossHistory.py ├── README.md ├── traindata10code │ ├── README.md │ ├── cifar10_trainrecord.jpg │ ├── custom_layers.py │ ├── data_10record.txt │ ├── densenet121loss_1_3.jpg │ ├── densenet121loss_2_3.jpg │ ├── densenetloss_1_3.jpg │ ├── densenetloss_2_3.jpg │ ├── lenetloss_1_3.jpg │ ├── lenetloss_2_3.jpg │ ├── mydensenet121.py │ ├── mymodel.py │ ├── resnetloss_1_3.jpg │ ├── resnetloss_2_3.jpg │ ├── trainCifar10data.py │ ├── vggnetloss_1_3.jpg │ └── vggnetloss_2_3.jpg ├── traindata10code_plus │ ├── README.md │ ├── custom_layers.py │ ├── data_10record.txt │ ├── densenetloss121_1.jpg │ ├── densenetloss121_2.jpg │ ├── densenetloss1_3.jpg │ ├── densenetloss2_3.jpg │ ├── lenetloss1_3.jpg │ ├── lenetloss2_3.jpg │ ├── mydensenet121.py │ ├── mymodel.py │ ├── resnetloss1_3.jpg │ ├── resnetloss2_3.jpg │ ├── trainCifar10data.py │ ├── train_record.jpg │ ├── traindata.py │ ├── vggnetloss1_3.jpg │ └── vggnetloss2_3.jpg └── traindata5code │ ├── README.md │ ├── custom_layers.py │ ├── data5_trainrecord.jpg │ ├── data5plus_trainrecord.jpg │ ├── data_5record.txt │ ├── mydensenet121.py │ ├── mymodel.py │ └── trainmydata.py ├── PyTorchLearningNote ├── PyTorchCode_1 │ ├── pytorch_practice1.py │ └── pytorch_practice2.py ├── PyTorchCode_2 │ ├── pytorch_SetUpModel.py │ ├── pytorch_practice1.py │ ├── pytorch_practiceByOrderDict.py │ ├── pytorch_practiceCompleteCode.py │ └── pytorch_practiceCompleteCode2.py ├── PyTorchCode_3 │ ├── pytorch_practiceCompleteCode1.py │ ├── pytorch_practiceCompleteCode2.py │ └── pytorch_practiceCompleteCode3.py └── README.md ├── README.md ├── TensorflowLearningNote ├── AlexNet_code_folder │ └── myalexnet.py ├── DenseNet_code_folder │ ├── custom_layers.py │ ├── mydensenet.py │ ├── mydensenet1.py │ ├── mydensenet121.py │ ├── mydensenet161.py │ ├── mydensenet169.py │ └── train_model.py ├── GoogLeNet_code_folder │ └── mygooglenet.py ├── LeNet-5_code_folder │ ├── mnist2image.py │ ├── mnist2tfrecord.py │ ├── mylenet_trainminist.py │ ├── parsedata.py │ ├── readtfrecord.py │ ├── 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