Deep Learning: Fundamentals and Applications

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.