MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence

by Phil Kim

1. Machine Learning2. Neural Network3. Training of Multi-Layer Neural Network4. Neural Network and Classification5. Deep Learning6. Convolutional Neural Network

172 pages, Paperback

First published June 15, 2017

Reviews

[David Arrustico · Rating 1 out of 5]

Too basic. One could probably learn a lot more via moocs.

[Waleed El-Badry · Rating 4 out of 5]

The author succeeded to simplify the concept of neural network and deep learning using minimal theory and direct implementation. You would sail in the concept of what neural networks is all about, from shallow to deep learning passing by when to use activation functions and selection of cost functions. Each paradigm is supported with detailed steps and implementation using MATLAB.

What could add a great value to this book is using Neural Network toolbox for more advanced examples and case studies.

[Kristen Lancaster · Rating 4 out of 5]

Does not make use of the deep learning toolbox. Rather, this is an introduction to deep learning with Matlab being the language of choice for examples. Because Matlab so beautifully handles matrices, it is a good choice.

[Medhat ullah · Rating 4 out of 5]

Minimal theory implementation