Lecture Materials:
- Lecture 2 - Linearity, Non-linearity, Keras intro and MNIST
- Lecture 7 - Feedforward Networks, Regularization
- Lecture 15 - LSTM examples - MNIST
- Lecture 16 - Seq2Seq demo
-
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