Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms

Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms

Buduma, Nithin
Buduma, Nikhil
Papa, Joe

Paperback

ApplicationsGeneral Computers

Publisher Price: $79.99

ISBN10: 149208218X
ISBN13: 9781492082187
Publisher: Oreilly Media
Published: Jun 21 2022
Pages: 387
Weight: 1.40
Height: 0.87 Width: 6.93 Depth: 9.06
Language: English

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

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