deep learning with python françois chollet

You’ll quickly pick up the skills you need to start developing deep-learning applications.įor readers with intermediate Python skills. As you move through this book, you’ll build your understanding through intuitive explanations, crisp color illustrations, and clear examples. In this revised and expanded new edition, Keras creator François Chollet offers insights for both novice and experienced machine learning practitioners.

This book shows you how to get started.ĭeep Learning with Python, Second Edition introduces the field of deep learning using Python and the powerful Keras library. Deep learning is quickly becoming essential knowledge for every software developer, and modern tools like Keras and TensorFlow put it within your reach-even if you have no background in mathematics or data science. Recent innovations in deep learning unlock exciting new software capabilities like automated language translation, image recognition, and more. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. You’ll learn practical techniques that are easy to apply in the real world, and important theory for perfecting neural networks. This extensively revised full color second edition introduces deep learning using Python and Keras, and is loaded with insights for both novice and experienced ML practitioners. Text generation, neural style transfer, and image generationĭeep Learning with Python has taught thousands of readers how to put the full capabilities of deep learning into action. Text classification and machine translation Image classification and image segmentation

In Deep Learning with Python, Second Edition you will learn: Learn directly from the creator of Keras and master practical Python deep learning techniques that are easy to apply in the real world. These notebooks use TensorFlow 2.6.Printed in full color! Unlock the groundbreaking advances of deep learning with this extensively revised new edition of the bestselling original. If you want to be able to follow what's going on, I recommend reading the notebooks side by side with your copy of the book. This repository contains Jupyter notebooks implementing the code samples found in the book Deep Learning with Python, 2nd Edition (Manning Publications).įor readability, these notebooks only contain runnable code blocks and section titles, and omit everything else in the book: text paragraphs, figures, and pseudocode.

Companion Jupyter notebooks for the book 'Deep Learning with Python'

Deep learning with python françois chollet