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deep
View on CRAN: Click
here
Download and install deep package within the R console
Install from CRAN:
install.packages("deep")
Install from Github:
library("remotes")
install_github("cran/deep")
Install by package version:
library("remotes")
install_version("deep", "0.1.0")
Attach the package and use:
library("deep")
Maintained by
Brian
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-12-20
Latest Update: 2019-12-20
Description:
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.
How to cite:
Brian (2019). deep: A Neural Networks Framework. R package version 0.1.0, https://cran.r-project.org/web/packages/deep. Accessed 29 Mar. 2025.
Previous versions and publish date:
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Other R packages that deep depends,
imports, suggests or enhances
Complete documentation for deep
Functions, R codes and Examples using
the deep R package
Some associated functions: McCullochPitts-class . McCullochPittsLayer-class . NeuralNetwork-class . Perceptron-class . PerceptronLayer-class . deep .
Some associated R codes: mcCullochPitts.R . neural-nets.R . perceptron.R . Full deep package functions and examples
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