Fundamentals of Deep Learning, 2nd Edition

Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms, 2nd Edition

eBook Details:

  • Paperback: 387 pages
  • Publisher: WOW! eBook; 2nd edition (June 21, 2022)
  • Language: English
  • ISBN-10: 149208218X
  • ISBN-13: 978-1492082187

eBook Description:

Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms, 2nd Edition

We’re in the midst of an AI research explosion. Deep learning has unlocked superhuman perception to power our push toward creating self-driving vehicles, defeating human experts at a variety of difficult games including Go, and even generating essays with shockingly coherent prose. But deciphering these breakthroughs often takes a PhD in machine learning and mathematics.

  • Learn the mathematics behind machine learning jargon
  • Examine the foundations of machine learning and neural networks
  • Manage problems that arise as you begin to make networks deeper
  • Build neural networks that analyze complex images
  • Perform effective dimensionality reduction using autoencoders
  • Dive deep into sequence analysis to examine language
  • Explore methods in interpreting complex machine learning models
  • Gain theoretical and practical knowledge on generative modeling
  • Understand the fundamentals of reinforcement learning

The updated Fundamentals of Deep Learning, 2nd Edition of this book describes the intuition behind these innovations without jargon or complexity. Python-proficient programmers, software engineering professionals, and computer science majors will be able to re-implement these breakthroughs on their own and reason about them with a level of sophistication that rivals some of the best developers in the field.

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