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Fundamentals of Deep Learning

Fundamentals of Deep Learning

Designing Next-Generation Machine Intelligence Algorithms

by Nithin BudumaNikhil Buduma and Joe Papa
Paperback
Publication Date: 21/06/2022

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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.

The updated second 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 reimplement these breakthroughs on their own and reason about them with a level of sophistication that rivals some of the best developers in the field.

  • 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
ISBN:
9781492082187
9781492082187
Category:
Enterprise software
Format:
Paperback
Publication Date:
21-06-2022
Language:
English
Publisher:
O'Reilly Media, Incorporated
Country of origin:
United States
Edition:
2nd Edition
Dimensions (mm):
233x177x23mm
Weight:
0.66kg

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