= a step-by-step guide to learning and implementing deep learning models using R
/ Taweh Beysolow II.
[Berkeley, California?] :
New York, NY
: Apress,
: Distributed by Springer Science + Business Media
، 2017
، [2017]
، 2017
xix, 227p.
: ill, chart
Books for professionals by professionals
Includes index.
0
Introduction to deep learning -- Mathematical review -- A review of optimization and machine learning -- Single and multilayer perceptron models -- Convolutional neural networks (CNNs) -- Recurrent neural networks (RNNs) -- Autoencoders, restricted boltzmann machines, and deep belief networks -- Experimental design and heuristics -- Hardware and software suggestions -- Machine learning example problems -- Deep learning and other example problems -- Closing statements.