├── chap2_linear_regression ├── linear_regression-GradientDescend.ipynb ├── linear_regression-tf2.0.ipynb ├── linear_regression.ipynb ├── numpy_ tutorial.ipynb ├── test.txt └── train.txt ├── chap3_softmax_regression ├── logistic_regression.ipynb └── softmax_regression.ipynb ├── chap4_simple_neural_network ├── tf2.0-exercise.ipynb ├── tutorial_minst_fnn-basic.ipynb ├── tutorial_minst_fnn-keras.ipynb ├── tutorial_minst_fnn-numpy.ipynb └── tutorial_minst_fnn-tf2.0.ipynb ├── chap5_CNN ├── corgi.jpg ├── tutorial_cifar10_conv-keras.ipynb ├── tutorial_minst_conv-basic.ipynb ├── tutorial_minst_conv-keras-sequential.ipynb ├── tutorial_minst_conv-keras.ipynb └── tutorial_random_filter.ipynb ├── chap6_RNN ├── Learn2Carry.ipynb ├── poem_generation_with_RNN.ipynb ├── poems.txt └── tangshi.txt ├── chap7-seq2seq-and-attention ├── seq2seq-attn.jpg ├── seq2seq.png ├── sequence_reversal.ipynb ├── sequence_reversal_with_attention.ipynb └── test.txt └── tf2.0-code-demos.ipynb 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