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Deep Learning: A Visual Approach – PDF
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Progress in Heterocyclic Chemistry (ISSN Book 29) – PDF
Progress in Heterocyclic Chemistry (ISSN Book 29) – PDF $185.00 Original price was: $185.00.$24.00Current price is: $24.00.
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Investments (9th Canadian Edition) – PDF
Investments (9th Canadian Edition) – PDF $69.00 Original price was: $69.00.$14.00Current price is: $14.00.

Deep Learning: A Visual Approach – PDF

Rated 4.50 out of 5 based on 2 customer ratings
(2 customer reviews)

$59.99 Original price was: $59.99.$10.00Current price is: $10.00.

eBook details

  • Author: Andrew Glassner
  • File Size: 32 MB
  • Format: PDF
  • Length: 776 Pages
  • Publisher: No Starch Press
  • Publication Date: June 22, 2021
  • Language: English
  • ASIN: B085BVWXNS
  • ISBN-10: 1718500726, 1718500734
  • ISBN-13: 9781718500723, 9781718500730
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Categories: E-Books, Education, Non Fiction, Others, PDF, Textbooks Tags: 1718500726, 1718500734, 978-1718500723, 978-1718500730, 9781718500723, 9781718500730, Deep Learning: A Visual Approach pdf
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Deep Learning: A Visual Approach – eBook PDF

Deep Learning: A Visual Approach (PDF) is 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 ebook’s conversational style, extensive color illustrations, illuminating analogies, 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 to think about probabilities in a way that’s useful to everyday life
  • How image classification systems identify objects or people in a photo
  • How to use the machine learning techniques that form the core of modern AI

Intellectual adventurers of all kinds can use the powerful ideas covered in Deep Learning: A Visual Approach to build intelligent systems that help us better understand the world and everyone who lives in it. It’s the future of AI, and this book allows you to fully envision it.

Reviews (2)

2 reviews for Deep Learning: A Visual Approach – PDF

  1. Sophia Mitchell (verified owner) – December 30, 2022

    Rated 4 out of 5

    Fast service and excellent customer support.

  2. Charlotte Evans (verified owner) – August 21, 2023

    Rated 5 out of 5

    Excellent service, highly satisfied.

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