├── .gitignore ├── README.md ├── chap11_gaussian_mixture └── README.md ├── chap12_RBM ├── README.md └── rbm.py ├── chap14_reinforcement_learning ├── README.md ├── RL_QG_agent.py ├── __init__.py ├── reversi │ ├── __init__.py │ ├── __pycache__ │ │ ├── __init__.cpython-35.pyc │ │ └── reversi.cpython-35.pyc │ └── reversi.py ├── reversi_main.py └── 期末作业说明.pdf ├── chap1_warmup ├── README.md └── numpy_ tutorial.ipynb ├── chap2_linear_regression ├── README.md ├── exercise-linear_regression.ipynb ├── linear_regression-tf2.0.ipynb ├── test.txt └── train.txt ├── chap3_SVM ├── README.md ├── data │ ├── test_kernel.txt │ ├── test_linear.txt │ ├── test_multi.txt │ ├── train_kernel.txt │ ├── train_linear.txt │ └── train_multi.txt └── svm.py ├── chap3_softmax_regression ├── README.md ├── logistic_regression-exercise.ipynb └── softmax_regression-exercise.ipynb ├── chap4_ simple neural network ├── README.md ├── tf2.0-exercise.ipynb ├── tf2.0-tutorial.pdf ├── tutorial_minst_fnn-numpy-exercise.ipynb └── tutorial_minst_fnn-tf2.0-exercise.ipynb ├── chap5_CNN ├── CNN_pytorch.ipynb ├── CNN_tensorflow.ipynb ├── README.md ├── corgi.jpg ├── tutorial_cifar10_conv-keras.ipynb ├── tutorial_mnist_conv-basic.ipynb ├── tutorial_mnist_conv-keras-sequential.ipynb ├── tutorial_mnist_conv-keras.ipynb └── tutorial_random_filter.ipynb ├── chap6_RNN ├── Learn2Carry-exercise.ipynb ├── README.md ├── poem_generation_with_RNN-exercise.ipynb ├── poems.txt ├── tangshi.txt ├── tangshi_for_pytorch │ ├── main.py │ ├── poems.txt │ ├── rnn.py │ └── tangshi.txt └── 题目要求 └── chap7-seq2seq-and-attention ├── seq2seq-attn.jpg ├── seq2seq.png ├── sequence_reversal-exercise.ipynb └── sequence_reversal_with_attention-exercise.ipynb /.gitignore: -------------------------------------------------------------------------------- 1 | .ipynb_checkpoints 2 | .idea/ 3 | 4 | -------------------------------------------------------------------------------- /README.md: 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