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 François 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.
Product Identifiers
Publisher
Manning Publications Co. LLC
ISBN-10
1617296864
ISBN-13
9781617296864
eBay Product ID (ePID)
4050404173
Product Key Features
Number of Pages
400 Pages, 504 Pages
Language
English
Publication Name
Deep Learning with Python, Second Edition, Deep Learning with Python
Publication Year
2021
Subject
Neural Networks, Programming Languages / Python
Type
Textbook
Subject Area
Computers
Author
François Chollet
Format
Trade Paperback
Dimensions
Item Height
1.3 in
Item Weight
38.1 Oz
Item Length
9.3 in
Item Width
7.4 in
Additional Product Features
LCCN
2021-425412
Dewey Edition
23
Reviews
"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 "Really easy to read and gives practical examples and easy to understand explanations of the concepts behind deep learning." Billy O'Callaghan "A tell-tale book that tells you all the secrets of deep learning!" Nikos Kanakaris "A great refresher of the old concepts explored in new and exciting ways. Manifold hypothesis steals the show!" Sayak Paul "One of the best books on this topic." Rauhsan Jha "The book is full of insights, useful both for the novice and the more experienced machine learning professional." Viton Vitanis "This is the book to read if you want to learn DL." Kjell Jansson "Francois explains everything in a very lucid & systematic manner, this approach of writing certainly gives confidence in users." Rauhsan Jha
Illustrated
Yes
Dewey Decimal
006.31, 005.133
Lc Classification Number
Q325.5.C4 2022
Copyright Date
2022
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