Fundamentals of Deep Learning, 2nd Edition
Designing Next-Generation Machine Intelligence Algorithms
| Price | $52.95 - $55.23
|
| Rating |   |
| Authors | Nithin Buduma, Nikhil Buduma, Joe Papa |
| Publisher | O'Reilly Media |
| Published | 2022 |
| Pages | 387 |
| Language | English |
| Format | Paper book / ebook (PDF) |
| ISBN-10 | 149208218X |
| ISBN-13 | 9781492082187 |
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.
- Nithin Buduma
- Nikhil Buduma (2 books)
- Joe Papa
4 5 4
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