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 ...