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Deep Learning: A Visual Approach

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Livraison entre le Jeudi 11 juin 2026 et le Vendredi 12 juin 2026

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Marque : GENERIC
Vendu par HEAVENBOOKS.MA

A richly-illustrated, full-color introduction to deep learning that offers visual and conceptual explanations instead of equations. You'll learn how to use key deep learning algorithms without the need for complex math.Ever since computers began beating us at chess, they've been getting better at a wide range of human activities, from writing songs...

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Description produit
Marque
GENERIC
Titre principal
Deep Learning: A Visual Approach
Editeur
No Starch Press
Type de produit
Paperback
Présentation du livre
Paperback
Release date
6/29/2021 12:00:00 AM
Langue d'origine
English
ISBN
1718500726
Dimensions
7.01 x 1.57 x 9.25 inches
Nombre de pages de livre
768 pages
Langue - Librairie
English
Résumé
A richly-illustrated, full-color introduction to deep learning that offers visual and conceptual explanations instead of equations. You'll learn how to use key deep learning algorithms without the need for complex math.Ever since computers began beating us at chess, they've been getting better at a wide range of human activities, from writing songs and generating news articles to helping doctors provide healthcare.Deep learning is the source of many of these breakthroughs, and its remarkable ability to find patterns hiding in data has made it the fastest growing field in artificial intelligence (AI). Digital assistants on our phones use deep learning to understand and respond intelligently to voice commands; automotive systems use it to safely navigate road hazards; online platforms use it to deliver personalized suggestions for movies and books - the possibilities are endless.Deep Learning: A Visual Approach is for anyone who wants to understand this fascinating field in depth, but without any of the advanced math and programming usually required to grasp its internals. If you want to know how these tools work, and use them yourself, the answers are all within these pages. And, if you're ready to write your own programs, there are also plenty of supplemental Python notebooks in the accompanying Github repository to get you going.The book's conversational style, extensive color illustrations, illuminating an*logies, and real-world examples expertly explain the key concepts in deep learning, including: • How text generators create novel stories and articles • How deep learning systems learn to play and win at human games • How image classification systems identify objects or people in a photo • How to think about probabilities in a way that's useful to everyday life • How to use the machine learning techniques that form the core of modern AIIntellectual adventurers of all kinds can use the powerful ideas covered in Deep Learning: A Visual Approach to build intelligen
Auteur(s)
Andrew Glassner
Date de parution
6/29/2021 12:00:00 AM