Deep Leaing with Python, Second Edition

by: Francois Chollet (Author)

Publisher: Manning
Edition:2nd

Publication Date: December 21, 2021

Language: English

Print Length: 504 pages

ISBN-10: 1617296864

ISBN-13: 9781617296864

Book Description

Printed in full color! Unlock the groundbreaking advances of deep leaing with this extensively revised new edition of the bestselling original. Lea directly from the creator of Keras and master practical Python deep leaing techniques that are easy to apply in the real world.In Deep Leaing with Python, Second Edition you will lea:Deep leaing from first principles Image classification and image segmentation Timeseries forecasting Text classification and machine translation Text generation, neural style transfer, and image generation Full color printing throughout Deep Leaing with Python has taught thousands of readers how to put the full capabilities of deep leaing into action. This extensively revised full color second edition introduces deep leaing using Python and Keras, and is loaded with insights for both novice and experienced ML practitioners. You’ll lea practical techniques that are easy to apply in the real world, and important theory for perfecting neural networks. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Recent innovations in deep leaing unlock exciting new software capabilities like automated language translation, image recognition, and more. Deep leaing is quickly becoming essential knowledge for every software developer, and mode tools like Keras and TensorFlow put it within your reach—even if you have no background in mathematics or data science. This book shows you how to get started. About the book Deep Leaing with Python, Second Edition introduces the field of deep leaing using Python and the powerful Keras library. In this revised and expanded new edition, Keras creator François Chollet offers insights for both novice and experienced machine leaing practitioners. As you move through this book, you’ll build your understanding through intuitive explanations, crisp color illustrations, and clear examples. You’ll quickly pick up the skills you need to start developing deep-leaing applications. What's inside Deep leaing from first principles Image classification and image segmentation Time series forecasting Text classification and machine translation Text generation, neural style transfer, and image generation Full color printing throughout About the reader For readers with intermediate Python skills. No previous experience with Keras, TensorFlow, or machine leaing is required. About the author François Chollet is a software engineer at Google and creator of the Keras deep-leaing library. Table of Contents 1 What is deep leaing? 2 The mathematical building blocks of neural networks 3 Introduction to Keras and TensorFlow 4 Getting started with neural networks:Classification and regression 5 Fundamentals of machine leaing 6 The universal workflow of machine leaing 7 Working with Keras:A deep dive 8 Introduction to deep leaing for computer vision 9 Advanced deep leaing for computer vision 10 Deep leaing for timeseries 11 Deep leaing for text 12 Generative deep leaing 13 Best practices for the real world 14 Conclusions
About the Author
Printed in full color! Unlock the groundbreaking advances of deep leaing with this extensively revised new edition of the bestselling original. Lea directly from the creator of Keras and master practical Python deep leaing techniques that are easy to apply in the real world.In Deep Leaing with Python, Second Edition you will lea:Deep leaing from first principles Image classification and image segmentation Timeseries forecasting Text classification and machine translation Text generation, neural style transfer, and image generation Full color printing throughout Deep Leaing with Python has taught thousands of readers how to put the full capabilities of deep leaing into action. This extensively revised full color second edition introduces deep leaing using Python and Keras, and is loaded with insights for both novice and experienced ML practitioners. You’ll lea practical techniques that are easy to apply in the real world, and important theory for perfecting neural networks. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Recent innovations in deep leaing unlock exciting new software capabilities like automated language translation, image recognition, and more. Deep leaing is quickly becoming essential knowledge for every software developer, and mode tools like Keras and TensorFlow put it within your reach—even if you have no background in mathematics or data science. This book shows you how to get started. About the book Deep Leaing with Python, Second Edition introduces the field of deep leaing using Python and the powerful Keras library. In this revised and expanded new edition, Keras creator François Chollet offers insights for both novice and experienced machine leaing practitioners. As you move through this book, you’ll build your understanding through intuitive explanations, crisp color illustrations, and clear examples. You’ll quickly pick up the skills you need to start developing deep-leaing applications. What's inside Deep leaing from first principles Image classification and image segmentation Time series forecasting Text classification and machine translation Text generation, neural style transfer, and image generation Full color printing throughout About the reader For readers with intermediate Python skills. No previous experience with Keras, TensorFlow, or machine leaing is required. About the author François Chollet is a software engineer at Google and creator of the Keras deep-leaing library. Table of Contents 1 What is deep leaing? 2 The mathematical building blocks of neural networks 3 Introduction to Keras and TensorFlow 4 Getting started with neural networks:Classification and regression 5 Fundamentals of machine leaing 6 The universal workflow of machine leaing 7 Working with Keras:A deep dive 8 Introduction to deep leaing for computer vision 9 Advanced deep leaing for computer vision 10 Deep leaing for timeseries 11 Deep leaing for text 12 Generative deep leaing 13 Best practices for the real world 14 Conclusions Read more