lab-12-0-rnn_basics.ipynb
lab-12-3-char-seq-softmax-only.py
lab-12-4-rnn_long_char.py
lab-12-5-rnn_stock_prediction.py
lab-02-1-Simple-Linear-Regression-eager.ipynb
lab-03-1-Linear-Regression-and-Minimizing-Cost-eager.ipynb
lab-04-1-Multi-variable-Linear-Regression--Regression-eager.ipynb
lab-05-1-logistic_regression-eager.ipynb
lab-05-2-logistic_regression_diabetes-eager.ipynb
lab-06-1-softmax_classifier-eager.ipynb
lab-06-2-softmax_zoo_classifier-eager.ipynb
lab-07-1-learning_rate_and_evaluation-eager.ipynb
lab-07-2-linear_regression_without_min_max.ipynb
lab-07-3-linear_regression_eager (preprocess, decay, l2_loss).ipynb
lab-07-4-mnist_introduction.ipynb
lab-07-5-fashion-mnist_introduction.ipynb
lab-07-6-IMDB-introduction.ipynb
lab-09-2-XOR-NN-eager.ipynb
lab-09-3-XOR-NN-Wide-Deep-eager.ipynb
lab-09-4-XOR-tensorboard-eager.ipynb
lab-10-1-1-mnist_nn_softmax.ipynb
lab-10-1-2-mnist_nn_relu.ipynb
lab-10-2-1-mnist_nn_xavier.ipynb
lab-10-2-2-mnist_nn_deep.ipynb
lab-10-3-mnist_nn_dropout.ipynb
lab-10-4-mnist_nn_batchnorm.ipynb
lab-11-0-cnn-basics-keras-eager.ipynb
lab-11-1-mnist-cnn-keras-sequential-eager.ipynb
lab-11-2-mnist-cnn-keras-functional-eager.ipynb
lab-11-3-mnist-cnn-keras-subclassing-eager.ipynb
lab-11-4-mnist-cnn-ensemble-keras-eager.ipynb
lab-11-5-mnist-cnn-best-keras-eager.ipynb
lab-12-0-rnn-basics-keras-eager.ipynb
lab-12-1-many-to-one-keras-eager.ipynb
lab-12-2-many-to-one-stacking-keras-eager.ipynb
lab-12-3-many-to-many-keras-eager.ipynb
lab-12-4-many-to-many-bidirectional-keras-eager.ipynb
lab-12-5-seq-to-seq-keras-eager.ipynb
lab-12-6-seq-to-seq-with-attention-keras-eager.ipynb
lab-12-7-bonus-seq-to-seq-with-attention-chatbot-keras-eager.ipynb
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