DEEP LEARNING WITH MATLAB. NEURAL NETWORKS BY EXAMPLES

by César Pérez López

Deep learning (also known as deep structured learning, hierarchical learning or deep machine learning) is a branch of machine learning based on a set of algorithms that attempt to model high level abstractions in data. Some of the most successful deep learning methods involve artificial neural networks. In a deep network, there are many layers between the input and output (and the layers are not made of neurons but it can help to think of it that way), allowing the algorithm to use multiple processing layers, composed of multiple linear and non-linear transformations. MATLAB has the tool Deep Learning Toolbox (Neural Networks Toolbox in versions prior to release 2018) that provides algorithms, functions, and apps to create, train, visualize, and simulate neural networks. You can perform classification, regression, clustering, dimensionality reduction, time-series forecasting, and dynamic system modeling and control. This book develops the mentioned tasks.

228 pages, Kindle Edition

Published June 24, 2020