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Deep Learning with Python, 2nd Edition

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Deep Learning with Python, 2nd Edition

Deep Learning with Python, 2nd Edition (sách keo gáy bìa mềm)
 
Thể loại:Computers - Computer Science
 
Năm:2021
 
In lần thứ:2
 
Ngôn ngữ:english
 
Trang:504
 
Unlock the groundbreaking advances of deep learning with this
extensively revised new edition of the bestselling original. Learn
directly from the creator of Keras and master practical Python deep
learning techniques that are easy to apply in the real world.
 
In Deep Learning with Python, Second Edition you will learn:
 
• 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
 
Deep
Learning with Python has taught thousands of readers how to put the
full capabilities of deep learning into action. This extensively revised
second edition introduces deep learning using Python and Keras, and is
loaded with insights for both novice and experienced ML practitioners.
You’ll learn practical techniques that are easy to apply in the real
world, and important theory for perfecting neural networks.
 
About the technology
 
Recent
innovations in deep learning unlock exciting new software capabilities
like automated language translation, image recognition, and more. 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.
This book shows you how to get started.
 
About the book
 
Deep
Learning with Python, Second Edition 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 illustrations, and clear examples. You’ll
quickly pick up the skills you need to start developing deep-learning
applications.
 
What's inside
 
• Deep learning from first principles
 
• Image classification and image segmentation
 
• Time series forecasting
 
• Text classification and machine translation
 
• Text generation, neural style transfer, and image generation
 
About the reader
 
For readers with intermediate Python skills. No previous experience with Keras, TensorFlow, or machine learning is required.
 
About the author
 
François Chollet is a software engineer at Google and creator of the Keras deep-learning library.