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) <https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi> Neural Networks YouTube playlist. Michael A. Nielsen <http://neuralnetworksanddeeplearning.com/> Neural Networks and Deep Learning.
Version: 1.2 Depends: R (≥ 3.2.1) Imports: stats, graphics, utils, Matrix, methods Published: 2023-08-25 DOI: 10.32614/CRAN.package.deepNN Author: Benjamin Taylor [aut, cre] Maintainer: Benjamin Taylor <benjamin.taylor.software at gmail.com> License: GPL-3 NeedsCompilation: no CRAN checks: deepNN results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=deepNN to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4