Natural Language Processing in Action: Understanding, analyzing, and generating text with Python
by Hannes Hapke, Cole Howard, Hobson Lane
Natural Language Processing in Action
- Copyright
- Brief Table of Contents
- Table of Contents
- Foreword
- Preface
- Acknowledgments
- About this Book
- About the Authors
- About the cover Illustration
- Part 1. Wordy machines
- Part 2. Deeper learning (neural networks)
- Chapter 5. Baby steps with neural networks (perceptrons and backpropagation)
- Chapter 6. Reasoning with word vectors (Word2vec)
- Chapter 7. Getting words in order with convolutional neural networks (CNNs)
- Chapter 8. Loopy (recurrent) neural networks (RNNs)
- Chapter 9. Improving retention with long short-term memory networks
- Chapter 10. Sequence-to-sequence models and attention
- Part 3. Getting real (real-world NLP challenges)
- Appendix A. Your NLP tools
- Appendix B. Playful Python and regular expressions
- Appendix C. Vectors and matrices (linear algebra fundamentals)
- Appendix D. Machine learning tools and techniques
- Appendix E. Setting up your AWS GPU
- Appendix F. Locality sensitive hashing
- Resources
- Glossary
- Chatbot Recirculating (Recurrent) Pipeline
- Index
- List of Figures
- List of Tables
- List of Listings
Natural Language Processing in Action: Understanding, analyzing, and generating text with Python
Hobson Lane, Cole Howard, and Hannes Max Hapke
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