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 Title: Deep Learning with Python, Second Edition
 Author(s): Francois Chollet
 Publisher: Manning; 2nd edition (December 21, 2021)
 Permission: Free to read entire book online by the publisher (Manning), with limited time every day.
 Hardcover/Paperback: 504 pages (First Edition: 384 pages)
 eBook: HTML
 Language: English
 ISBN10/ASIN: 1617296864 (First Edition: 1617294438)
 ISBN13: 9781617296864 (First Edition: 9781617294433)
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Book Description
This book introduces the field of deep learning 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 learning 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 deeplearning applications.
 Deep learning 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
The Book is for readers with intermediate Python skills. No previous experience with Keras, TensorFlow, or machine learning is required.
About the Authors Francois Chollet is the author of Keras, one of the most widely used libraries for deep learning in Python. He has been working with deep neural networks since 2012. Francois is currently doing deep learning research at Google. He blogs about deep learning at blog.keras.io.
 Deep Learning and Neural Networks
 Python Programming
 Machine Learning
 Artificial Intelligence
 Data Analysis and Data Mining
 Deep Learning with Python, 2nd Edition (Francois Chollet)
 The First Edition
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