Description
Fundamentals of Deep Learning (2nd Ed.)
Designing Next-Generation Machine Intelligence Algorithms
Authors: Buduma Nithin, Buduma Nikhil, Papa Joe
Language: EnglishSubjects for Fundamentals of Deep Learning:
Approximative price 75.66 €
In Print (Delivery period: 12 days).
Add to cart the book of Buduma Nithin, Buduma Nikhil, Papa Joe450 p.
Description
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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