Book Content
chapters • 15h44m total length
1. Introduction
2. How to Get TensorFlow to Work
3. Producing Word Embeddings with Word2Vec
4. Advanced Word2Vec
5. Sentence Classification with CNNs
6. Language Modelling with RNNs
7. What is LSTM?
8. Applying LSTM to Text Generation
9. Applications of LSTM: Image Caption Generation
10. Neural Machine Translation
11. NLP developments and Trends
12. Appendix I Linear Algebra and Statistics
