├── .gitignore ├── CODE_OF_CONDUCT.md ├── CONTRIBUTING.md ├── LICENSE.md ├── README.md ├── issue_template.md ├── note ├── hw │ └── gpu.md ├── lesson-1 │ ├── README.md │ ├── Stochastic_Optimization.md │ ├── logistic_classify.md │ └── practical.md ├── lesson-2 │ ├── README.md │ ├── deep_network.md │ ├── deep_network_practice.md │ ├── dig_classifier.md │ ├── limit_linear.md │ ├── neural_network.md │ └── neural_practical.md ├── lesson-3 │ ├── README.md │ └── practice.md ├── lesson-4 │ ├── README.md │ ├── rnn_practice.md │ └── unstand_lstm.md ├── matplotlib │ └── README.md ├── numpy │ └── README.md ├── other.md ├── sklearn │ └── README.md └── tensorflow │ ├── README.md │ ├── distribute.md │ ├── install.md │ ├── skflow.md │ └── tensorboard.md ├── res ├── 2_layer_neural.png ├── LSTM2-notation.png ├── LSTM3-C-line.png ├── LSTM3-SimpleRNN.png ├── LSTM3-chain.png ├── LSTM3-focus-C.png ├── LSTM3-focus-f.png ├── LSTM3-focus-i.png ├── LSTM3-focus-o-1.png ├── LSTM3-focus-o.png ├── LSTM3-gate.png ├── LSTM3-var-GRU.png ├── LSTM3-var-peepholes.png ├── LSTM3-var-tied.png ├── RELU2Neural.png ├── RNN-longtermdependencies.png ├── RNN-rolled.png ├── RNN-shorttermdepdencies.png ├── RNN-unrolled.png ├── SDG_param.png ├── add_layer.png ├── analogies.png ├── avg_train_loss.png ├── back_propagation.png ├── beam_search.png ├── cbow_res.png ├── chain_rule.png ├── cmpcos.png ├── cnn_rnn.png ├── constant_derivate.png ├── conv_concept.png ├── conv_lingo.png ├── conv_output.png ├── cross-entropy.png ├── deep_neural_abs.png ├── dropout.png ├── early_termination.png ├── gauss_init.png ├── gradient_clip.png ├── hard_scale_gradient.png ├── inception.png ├── init_for_sdg.png ├── ipynb.png ├── ipython_start.png ├── l2_regularization.png ├── linear_are_linear.png ├── linear_complexity.png ├── load_notminist_shot.png ├── logistic.png ├── logistic2.png ├── logistic3.png ├── lstm_cell.png ├── lstm_gate.png ├── math_reason.png ├── mem_cell.png ├── min_num.png ├── moment2.jpg ├── momentum1.jpg ├── normal_optimize.png ├── normal_target.png ├── num_stable.png ├── one_hot_encoding.png ├── predictword.png ├── relu.png ├── rnn.png ├── rnn_gradient.png ├── rnn_model.png ├── sgd.png ├── softmax.png ├── stable_linear.png ├── stride.png ├── tb_1branch.png ├── tensorboard_2branch.png ├── train_loss.png ├── train_loss_init.png ├── vecanalogy.png ├── weight_loss.png ├── word2vec.png ├── word2vec_res.png └── wxmoney.jpg └── src ├── __init__.py ├── app ├── __init__.py ├── caltech │ ├── __init__.py │ ├── data.py │ ├── dnn_caltech.py │ └── dnn_caltech_board.py └── neural_style │ ├── README.md │ ├── __init__.py │ ├── example │ ├── 1-content.jpg │ ├── 1-style.jpg │ ├── 2-content.jpg │ ├── 2-style1.jpg │ ├── 2-style2.jpg │ └── 3-style.jpg │ ├── neural_style.py │ ├── stylize.py │ └── vgg.py ├── convnet ├── __init__.py ├── cnn_board.py ├── conv_mnist.py └── hyper_conv_mnist.py ├── distrib.py ├── neural ├── __init__.py ├── digit_nn.py ├── full_connect.py └── nn_overfit.py ├── not_mnist ├── __init__.py ├── __init__.pyc ├── clean_overlap.py ├── extract.py ├── img_pickle.py ├── img_pickle.pyc ├── load_data.py ├── logistic_train.py ├── merge_prune.py ├── pick.py └── schedule.py ├── num_stable.py ├── optimize ├── __init__.py ├── cnn_half_optimize.py ├── cnn_long_optimize.py ├── cnn_optimize.py ├── cnn_prophet.py ├── cnn_step_optimize.py └── random_param_cnn.py ├── rnn ├── __init__.py ├── bigram_lstm.py ├── cbow.py ├── data_utils.py ├── embed_bigram_lstm.py ├── lstm.py ├── lstm_regular.py ├── seq2seq.py ├── seq2seq_model.py ├── singlew_lstm.py └── word2vec.py ├── skflow ├── __init__.py ├── skflow_cnn.py └── skflow_rnn.py ├── soft_max.py └── util ├── __init__.py ├── board.py ├── file_helper.py ├── mnist.py └── request.py /.gitignore: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ahangchen/GDLnotes/HEAD/.gitignore -------------------------------------------------------------------------------- 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