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Deep Learning: A Visual Approach – PDF

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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About The Author

Andrew Glassner

Deep Learning: A Visual Approach (PDF) is a richly-illustrated, full-shade introduction to deep studying that gives visible and conceptual explanations as a substitute of equations. You’ll discover ways to use key deep studying algorithms with out the necessity for advanced math. Ever since computer systems started beating us at chess, they have been getting higher at a variety of human actions, from writing songs and producing information articles to serving to docs present healthcare. Deep Learning is the supply of many of those breakthroughs, and its exceptional means to search out patterns hiding in information has made it the quickest-rising area in synthetic intelligence (AI). Digital assistants on our telephones use deep studying to know and reply intelligently to voice instructions; automotive techniques use it to securely navigate street hazards; on-line platforms use it to ship customized solutions for motion pictures and books – the probabilities are infinite. Deep Learning: A Visual Approach is for anybody who needs to know this fascinating area in depth, however with none of the superior math and programming often required to know its internals. If you wish to understand how these instruments work, and use them your self, the solutions are all inside these pages. And, in case you’re prepared to put in writing your personal applications, there are additionally loads of supplemental Python notebooks within the accompanying Github repository to get you going. The ebook’s conversational type, in depth shade illustrations, illuminating analogies, and actual-world examples expertly clarify the important thing ideas in deep studying, together with:

  • How textual content turbines create novel tales and articles
  • How deep studying techniques study to play and win at human video games
  • How to consider chances in a approach that is helpful to on a regular basis life
  • How picture classification techniques determine objects or folks in a photograph
  • How to make use of the machine studying methods that kind the core of contemporary AI

Intellectual adventurers of every kind can use the highly effective concepts lined in Deep Learning: A Visual Approach to construct clever techniques that assist us higher perceive the world and everybody who lives in it. It’s the way forward for AI, and this e-book means that you can totally envision it.

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