(colored) deep learning with python, 2nd edition, francois chollet

1369 грн -13% 1200 грн

Опис

Printed in full color! 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. \n \nIn Deep Learning
with Python, Second Edition you will learn: \n \nDeep learning from first
principles \nImage classification and image segmentation \nTimeseries
forecasting \nText classification and machine translation \nText generation,
neural style transfer, and image generation \nFull color printing throughout
\n \nDeep Learning with Python has taught thousands of readers how to put the
full capabilities of deep learning into action. 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. You’ll
learn practical techniques that are easy to apply in the real world, and
important theory for perfecting neural networks. \n \nPurchase of the print
book includes a free eBook in PDF, Kindle, and ePub formats from Manning
Publications. \n \nAbout the technology \nRecent 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. \n
\nAbout the book \nDeep 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 color illustrations, and clear examples. You’ll quickly
pick up the skills you need to start developing deep-learning applications.