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OverviewFull Product DetailsAuthor: Chollet Francois , Matthew WatsonPublisher: Manning Publications Imprint: Manning Publications Edition: 3rd edition Dimensions: Width: 18.70cm , Height: 3.60cm , Length: 25.50cm Weight: 1.270kg ISBN: 9781633436589ISBN 10: 1633436586 Pages: 648 Publication Date: 22 December 2025 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Available To Order We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of Contents1 WHAT IS DEEP LEARNING? 2 THE MATHEMATICAL BUILDING BLOCKS OF NEURAL NETWORKS 3 INTRODUCTION TO TENSORFLOW, PYTORCH, JAX, AND KERAS 4 CLASSIFICATION AND REGRESSION 5 FUNDAMENTALS OF MACHINE LEARNING 6 THE UNIVERSAL WORKFLOW OF MACHINE LEARNING 7 A DEEP DIVE ON KERAS 8 IMAGE CLASSIFICATION 9 CONVNET ARCHITECTURE PATTERNS 10 INTERPRETING WHAT CONVNETS LEARN 11 IMAGE SEGMENTATION 12 OBJECT DETECTION 13 TIMESERIES FORECASTING 14 TEXT CLASSIFICATION 15 LANGUAGE MODELS AND THE TRANSFORMER 16 TEXT GENERATION 17 IMAGE GENERATION 18 BEST PRACTICES FOR THE REAL WORLD 19 THE FUTURE OF AI 20 CONCLUSIONSReviewsAuthor InformationFrançois Chollet is a software engineer at Google and creator of the Keras deep learning library. Matthew Watson is a core maintainer of the Keras deep learning library, focusing primarily on tools for Natural Language Processing. Tab Content 6Author Website:Countries AvailableAll regions |
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