Mastering Machine Learning with R by Cory Lesmeister

Author:Cory Lesmeister [Lesmeister, Cory]
Language: eng
Format: azw3, epub, pdf
Publisher: Packt Publishing
Published: 2015-10-27T16:00:00+00:00

This can be applied recursively and learning can take place over many hidden layers. What you have happening in this case is the network is developing features of features as they are stacked on each other. Deep learning will learn the weights between two layers in sequence first and then only use backpropagation in order to fine-tune these weights. Other feature selection methods include Restricted Boltzmann Machine and Sparse Coding Model.

The details are beyond our scope, and many resources are available to learn about the specifics. Here are a couple of starting points:

http://www.cs.toronto.edu/~hinton/

http://deeplearning.net/

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