Package: deep 0.1.0

deep: A Neural Networks Framework

This package provides a layer oriented way of creating neural networks, 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.

Authors:Brian Lee Mayer

deep_0.1.0.tar.gz
deep_0.1.0.zip(r-4.7)deep_0.1.0.zip(r-4.6)deep_0.1.0.zip(r-4.5)
deep_0.1.0.tgz(r-4.6-any)deep_0.1.0.tgz(r-4.5-any)
deep_0.1.0.tar.gz(r-4.7-any)deep_0.1.0.tar.gz(r-4.6-any)
deep_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
deep/json (API)

# Install 'deep' in R:
install.packages('deep', repos = c('https://blmayer.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/blmayer/deep/issues

On CRAN:

Conda:

machine-learningneural-networks

4.02 score 7 stars 2 scripts 125 downloads 3 mentions 5 exports 0 dependencies

Last updated from:25c618c7e4. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE99
source / vignettesOK118
linux-release-x86_64NOTE94
macos-release-arm64NOTE80
macos-oldrel-arm64NOTE85
windows-develNOTE62
windows-releaseNOTE70
windows-oldrelNOTE54
wasm-releaseOK84

Exports:mcCullochPittsmcCullochPittsLayerneuralNetperceptronperceptronLayer

Dependencies: