deep: A Neural Networks Framework

Explore neural networks in a layer oriented way, the framework is intended to give the user total control of the internals of a net without much effort. Use classes like PerceptronLayer to create a layer of Percetron neurons, and specify how many you want. The package does all the tricky stuff internally leaving you focused in what you want. I wrote this package during a neural networks course to help me with the problem set.

Version: 0.1.0
Imports: methods
Published: 2019-12-20
Author: Brian Lee Mayer
Maintainer: Brian <bleemayer at>
License: GPL-3
NeedsCompilation: no
CRAN checks: deep results


Reference manual: deep.pdf


Package source: deep_0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): deep_0.1.0.tgz, r-oldrel (arm64): deep_0.1.0.tgz, r-release (x86_64): deep_0.1.0.tgz, r-oldrel (x86_64): deep_0.1.0.tgz


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