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François Chollet Deep Learning with Python (Paperback)

Description: Further DetailsTitle: Deep Learning with PythonCondition: NewISBN-10: 1617296864EAN: 9781617296864ISBN: 9781617296864Publisher: Manning PublicationsFormat: PaperbackRelease Date: 04/07/2022Description: "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 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. about the technologyMachine 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 bookDeep 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, François 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 insideDeep learning from first principlesImage-classification, imagine segmentation, and object detectionDeep learning for natural language processingTimeseries forecastingNeural style transfer, text generation, and image generation about the readerReaders need intermediate Python skills. No previous experience with Keras, TensorFlow, or machine learning is required. about the authorFrançois 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.Language: EnglishCountry/Region of Manufacture: USItem Height: 235mmItem Length: 185mmItem Width: 34mmItem Weight: 1080gGenre: Computing & InternetAuthor: François CholletRelease Year: 2022 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.

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François Chollet Deep Learning with Python (Paperback)

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Book Title: Deep Learning with Python

Title: Deep Learning with Python

ISBN-10: 1617296864

EAN: 9781617296864

ISBN: 9781617296864

Release Date: 04/07/2022

Release Year: 2022

Country/Region of Manufacture: US

Genre: Computing & Internet

Number of Pages: 400 Pages

Language: English

Publication Name: Deep Learning with Python

Publisher: Manning Publications Co. LLC

Item Height: 1.3 in

Subject: Neural Networks, Programming Languages / Python

Publication Year: 2021

Item Weight: 38.1 Oz

Type: Textbook

Author: François Chollet

Subject Area: Computers

Item Length: 9.3 in

Item Width: 7.3 in

Format: Trade Paperback

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