Live @ No. 07 @ Chapter 10 @ Deep Learning 101 @ 2017/05/05

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預計分四個部份介紹 RNN
. RNN Motivation & Various type
. Training RNN & Gradient Vanishing/exploding (會有一點點數學推導, 向手解致敬..)…
. LSTM & GRU 詳解 (解釋的解 )
. Real world cases …(熱騰騰實際案例不完美分享..)

CH 10. Sequence Modeling: Recurrent and Recursive Nets
10.1 Unfolding Computational Graphs
10.2 Recurrent Neural Networks
10.3 Bidirectional RNNs
10.4 Encoder-Decoder Sequence-to-Sequence Architectures
10.5 Deep Recurrent Networks
10.6 Recursive Neural Networks
10.7 The Challenge of Long-Term Dependencies
10.8 Echo State Networks
10.9 Leaky Units and Other Strategies for Multiple Time Scales
10.10 The Long Short-Term Memory and Other Gated RNNs
10.11 Optimization for Long-Term Dependencies
10.12 Explicit Memory

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