deepNN: Deep Learning

Implementation of some Deep Learning methods. Includes multilayer perceptron, different activation functions, regularisation strategies, stochastic gradient descent and dropout. Thanks go to the following references for helping to inspire and develop the package: Ian Goodfellow, Yoshua Bengio, Aaron Courville, Francis Bach (2016, ISBN:978-0262035613) Deep Learning. Terrence J. Sejnowski (2018, ISBN:978-0262038034) The Deep Learning Revolution. Grant Sanderson (3brown1blue) <> Neural Networks YouTube playlist. Michael A. Nielsen <> Neural Networks and Deep Learning.

Package details

AuthorBenjamin Taylor [aut, cre]
MaintainerBenjamin Taylor <[email protected]>
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the deepNN package in your browser

Any scripts or data that you put into this service are public.

deepNN documentation built on May 2, 2019, 6:52 a.m.