Deep Learning with Python
Douban
Francois Chollet
sinopsis
Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples. You'll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you'll have the knowledge and hands-on skills to apply deep learning in your own projects.
contenidos
PART 1 - FUNDAMENTALS OF DEEP LEARNING
1.What is deep learning?
2.Before we begin: the mathematical building blocks of neural networks
3.Getting started with neural networks
4.Fundamentals of machine learning
PART 2 - DEEP LEARNING IN PRACTICE
5.Deep learning for computer vision
6.Deep learning for text and sequences
7.Advanced deep-learning best practices
8.Generative deep learning
9.Conclusions
appendix A - Installing Keras and its dependencies on Ubuntu
appendix B - Running Jupyter notebooks on an EC2 GPU instance
