Deep Learning - Fundamentals and Applications

Fouad Sabry

Summary

What Is Deep Learning
 
Deep learning belongs to a larger family of machine learning approaches that are founded on artificial neural networks and representation learning. This family of methods is known as deep learning. There are three different ways to learn: supervised, semi-supervised, and unsupervised.
 
How You Will Benefit
 
(I) Insights, and validations about the following topics:
 
Chapter 1: Deep learning
 
Chapter 2: Machine learning
 
Chapter 3: Neural coding
 
Chapter 4: Scale space
 
Chapter 5: Compressed sensing
 
Chapter 6: Reservoir computing
 
Chapter 7: Echo state network
 
Chapter 8: Stochastic parrot
 
Chapter 9: Differentiable programming
 
Chapter 10: Liquid state machine
 
(II) Answering the public top questions about deep learning.
 
(III) Real world examples for the usage of deep learning in many fields.
 
(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of deep learning' technologies.
 
Who This Book Is For
 
Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of deep learning.

Available since: 07/04/2023.

Print length: 108 pages.

Science & Technology

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