"The first edition of Deep Learning with Python is one of the best
books on the subject. The second edition made it even better." -
Todd Cook The bestseller revised! Deep Learning with Python, Second
Edition is a comprehensive introduction to the field of deep
learning using Python and the powerful Keras library. Written by
Google AI researcher Francois Chollet, the creator of Keras, this
revised edition has been updated with new chapters, new tools, and
cutting-edge techniques drawn from the latest research. You'll
build your understanding through practical examples and intuitive
explanations that make the complexities of deep learning accessible
and understandable. about the technology Machine learning has made
remarkable progress in recent years. We've gone from near-unusable
speech recognition, to near-human accuracy. From machines that
couldn't beat a serious Go player, to defeating a world champion.
Medical imaging diagnostics, weather forecasting, and natural
language question answering have suddenly become tractable
problems. Behind this progress is deep learning-a combination of
engineering advances, best practices, and theory that enables a
wealth of previously impossible smart applications across every
industry sector about the book Deep Learning with Python introduces
the field of deep learning using the Python language and the
powerful Keras library. You'll learn directly from the creator of
Keras, Francois Chollet, building your understanding through
intuitive explanations and practical examples. Updated from the
original bestseller with over 50% new content, this second edition
includes new chapters, cutting-edge innovations, and coverage of
the very latest deep learning tools. You'll explore challenging
concepts and practice with applications in computer vision,
natural-language processing, and generative models. By the time you
finish, you'll have the knowledge and hands-on skills to apply deep
learning in your own projects. what's inside Deep learning from
first principles Image-classification, imagine segmentation, and
object detection Deep learning for natural language processing
Timeseries forecasting Neural style transfer, text generation, and
image generation about the reader Readers need intermediate Python
skills. No previous experience with Keras, TensorFlow, or machine
learning is required. about the author Francois Chollet works on
deep learning at Google in Mountain View, CA. He is the creator of
the Keras deep-learning library, as well as a contributor to the
TensorFlow machine-learning framework. He also does AI research,
with a focus on abstraction and reasoning. His papers have been
published at major conferences in the field, including the
Conference on Computer Vision and Pattern Recognition (CVPR), the
Conference and Workshop on Neural Information Processing Systems
(NIPS), the International Conference on Learning Representations
(ICLR), and others.
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