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Deep Learning with JavaScript
book

Deep Learning with JavaScript

by Stanley Bileschi, Eric Nielsen, Shanqing Cai
February 2020
Intermediate to advanced
560 pages
22h 18m
English
Manning Publications
Audiobook available
Content preview from Deep Learning with JavaScript

Chapter 13. Summary, conclusions, and beyond

This chapter covers

  • Looking back at the high-level concepts and ideas about AI and deep learning
  • A quick overview of the different types of deep-learning algorithms we’ve visited in this book, when they are useful, and how to implement them in TensorFlow.js
  • Pretrained models from the ecosystem of TensorFlow.js
  • Limitations of deep learning as it currently stands; and an educated prediction for trends in deep learning that we will see in the coming years
  • Guidance for how to further advance your deep-learning knowledge and stay up-to-date with the fast-moving field

This is the final chapter of this book. Previous chapters have been a grand tour of the current landscape of deep learning, enabled ...

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Publisher Resources

ISBN: 9781617296178Publisher SupportPublisher Website