├── 1.Basic └── helloworld.py ├── 10.SaveModel ├── README.md ├── checkpoint.py └── saved_model.py ├── 11.TFRecord ├── README.md ├── features.ipynb ├── read_cifar10.py ├── read_mnist.py ├── write2.py ├── write_cifar10.py └── write_mnist.py ├── 12.ImageProcess ├── 1.jpg ├── ImageProcess.ipynb ├── examples.py ├── read_dog.py └── write_dog.py ├── 14.RNN ├── BasicLSTM │ ├── bilstm_mnist.py │ ├── bilstm_mnist2.py │ ├── bilstm_mnist3.py │ ├── embedding_lookup.py │ ├── lstm.py │ ├── lstm_mnist.py │ ├── lstm_sin_prediction.py │ ├── lstm_sin_prediction_2.py │ └── lstm_sin_prediction_3.py ├── GRU │ ├── 1.basic.py │ ├── bigru_mnist.py │ └── gru.py ├── IndyLSTM │ ├── IndyLSTM.py │ ├── Indylstm_mnist.py │ └── Indylstm_mnist2.py ├── LSTM │ ├── lstm.py │ ├── lstm_cell.py │ ├── lstm_cell_mnist.py │ ├── lstm_mnist.py │ └── lstm_sin_prediction.py ├── RNN.py └── layerNorm_mnist.py ├── 15.Tricks ├── argxxx.py └── sequence_mask.py ├── 16.DataPipelines ├── Preprocess │ └── one-hot.py ├── dataset.py ├── dataset2.py ├── example1.py └── multi_gpu.py ├── 2.constant_and_Variable ├── Tensor.py └── Variable.py ├── 21.Metrics ├── 1.accuracy.py ├── 2.precision.py └── softmax.py ├── 22.Muilti_GPU ├── model.py └── train.py ├── 23.tf.layers └── MNIST_TEST │ ├── model.py │ ├── parameter.py │ ├── test.py │ └── train.py ├── 3.Graph_and_Session ├── graph.py ├── graph_test.ipynb ├── session.py └── session_test.ipynb ├── 4.Optimizer&GradientTape ├── gradient_tape.py └── optimizer.py ├── 5.math_random_shape ├── math.py ├── random.py └── shape.py ├── 6.NeuralNet_basic └── mlp.py ├── 7.keras ├── 1.basic.py ├── 2.layers.py └── 3.model.py ├── 8.Template ├── 1.module.py ├── example.py └── example2.py ├── 9.CNN ├── conv2d.py ├── example_basic.py ├── example_keras.py └── max_pool.py ├── Project ├── DeepDream │ └── README.md ├── ImageCaptioning │ ├── README.md │ └── model │ │ ├── model.py │ │ ├── parameter.py │ │ ├── preprocess.py │ │ └── train.py ├── LanguageModel │ ├── README.md │ ├── dataset │ │ └── 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