Deep Learning - A Visual Approach - Grand Format

Edition en anglais

Andrew Glassner

Note moyenne 
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... Lire la suite
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Résumé

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 diagnose and treat diseases. Deep learning is the source of many of these breakthroughs, and its remarkable ability to find patterns in data has made it the fastest-growing field in artificial intelligence. Digital phone assistants use deep learning to understand and respond to voice commands ; automotive systems use it to safely navigate roads ; and online platforms use it to make personalized recommendations for movies and books.
Deep Learning will help you understand this fascinating field without requiring any advanced math or programming skills. The book's conversational style, full-color illustrations, and real-world examples expertly explain key concepts. If you want to know how deep learning tools work and use them yourself, you'll find the answers here. And when you're ready to write your own programs, the supplemental Python notebooks in the book's GitHub repository will get you started.
You'll learn how : - Text generators create stories and articles ; - Deep learning systems learn to win human games ; - Image classification systems identify objects or people in a photo ; - Probabilities are useful in everyday life ; - Machine learning techniques contribute to modern Al Intellectual adventurers of all kinds can use the powerful ideas covered in Deep Learning to build intelligent systems that help us better understand the world around us.
It's the future of Al, and this book will take you there.

Caractéristiques

  • Date de parution
    29/06/2021
  • Editeur
  • ISBN
    978-1-7185-0072-3
  • EAN
    9781718500723
  • Format
    Grand Format
  • Présentation
    Broché
  • Nb. de pages
    736 pages
  • Poids
    1.676 Kg
  • Dimensions
    17,5 cm × 23,2 cm × 3,9 cm

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À propos de l'auteur

Biographie d'Andrew Glassner

Dr. Andrew GLASSNER is a Senior Research Scientist at Weta Digital, where he uses deep learning to help artists produce visual effects for film and television. He was Technical Papers Chair for SIGGRAPH '94, founding editor of the Journal of Computer Graphics Tools, and editor-in-chief of ACM Transactions on Graphics. His prior books include the Graphics Gems series and the textbook Principles of Digital Image Synthesis.

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