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LSTM Structure
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Classroom Contents
Neural Nets for NLP 2017 - Recurrent Neural Networks
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- 1 Intro
- 2 NLP and Sequential Data
- 3 Long-distance Dependencies in Language
- 4 Parameter Tying
- 5 What Can RNNs Do?
- 6 e.g. Language Modeling
- 7 Representing Sentences
- 8 Representing Contexts
- 9 Recurrent Neural Networks in DyNet
- 10 Parameter Initialization
- 11 Sentence Initialization
- 12 A Solution: Long Short-term Memory (Hochreiter and Schmichuber 1997)
- 13 Other Alternatives
- 14 Handling Mini-batching
- 15 Mini-batching Method
- 16 Handling Long Sequences
- 17 Example: LM - Sentence Classifier
- 18 LSTM Structure
