Artificial Intelligence for Humans, Volume 3: Deep Learning and Neural Networks

by Jeff Heaton

Neural networks have been a mainstay of artificial intelligence since its earliest days. Now, exciting new technologies such as deep learning and convolution are taking neural networks in bold new directions. In this book, we will demonstrate the neural networks in a variety of real-world tasks such as image recognition and data science. We examine current neural network technologies, including ReLU activation, stochastic gradient descent, cross-entropy, regularization, dropout, and visualization.

Genres: Artificial Intelligence, Computer Science

375 pages, Kindle Edition

Published November 17, 2015

Reviews

[Rick Sam · Rating 3 out of 5]

A Beginner Book for Deep Learning.

The Book Lacks Concrete Details


-What is inside the Neural Network?
-Why use this Neural Network?
-Why this Architecture?
-What is the pro of this Neural Network?
-What is the con of Neural Network?
-What kinds of problems should this Neural Network solve?


Recommended for High-School, Undergraduate Level or Practitioners.

[Jolan · Rating 5 out of 5]

The best book out of the series.
It gives a good insight on how the most used ML algorithms work and how to apply them.