Deep learning "Four Great Masterpieces" released! Four sets of Python, TensorFlow, machine learning, deep learning!

Posted Jun 27, 20202 min read

"Four Masterpieces" of Deep Learning for Python Programmers:

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These four books are really good! We all know that there are too many materials for machine learning and deep learning. In the face of massive resources, we are often caught in the "out of reach" confusion. And not all books are high-quality resources, and a lot of time is not worth the loss.

Recommend these few good books and give a brief introduction:

1. "Deep Learning with Python"

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This book has received many praises since it was published. Because it is a book written by the author of Keras, the whole book basically revolves around Keras talk about various implementations of deep learning, from CNN, RNN to GAN, etc., partial entry, but also carries many authors Deep learning holistic thinking. This is a practical book that teaches you to use Keras to quickly implement classic deep learning projects. After reading this book, you can basically master Keras and deep learning combat.

This book source code GitHub address:

https://github.com/fchollet/d...

2. "Python Machine Learning"

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This book uses Scikit-Learn and TensorFlow to explain machine learning and deep learning respectively, and each chapter is equipped with practical code. Another point is to explain how to publish machine learning models to Web applications. The entire knowledge system is relatively more complete and it is a relatively comprehensive machine learning book.

This book source code GitHub address:

https://github.com/rasbt/pyth...

3. "Hands-On Machine Learning with Scikit-Learn & TensorFlow"

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The Chinese translation of this book is "Scikit-Learn and TensorFlow Machine Learning Practical Guide". The biggest feature of this book is theoretically concise and simple. The book basically does not have too many complicated mathematical formula derivations. The language is easy to understand, and it is easy to understand and see. This book is a machine learning book that is very suitable for entry and actual combat, taking into account both theory and actual combat.

This book source code GitHub address:

https://github.com/ageron/han...

4. "Deep Learning"

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Also known as "Flower Book". The book was written by three bigwigs, Ian Goodfellow, Yoshua Bengio and Aaron Courville, and is a groundbreaking classic textbook in the field of deep learning. I believe that most people in this book know about deep learning!

Resource acquisition method:
Official account[Computer Vision Alliance]Backstage reply:9002, you can get the electronic version

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