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Implement some deep learning architectures and neural network algorithms, including BP,RBM,DBN,Deep autoencoder and so on.
| Version: | 0.2.1 |
| Published: | 2022-06-24 |
| Author: | Xiao Rong |
| Maintainer: | Xiao Rong <runxiao at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL] |
| NeedsCompilation: | no |
| In views: | MachineLearning |
| CRAN checks: | deepnet results |
| Reference manual: | deepnet.pdf |
| Package source: | deepnet_0.2.1.tar.gz |
| Windows binaries: | r-devel: deepnet_0.2.1.zip, r-release: deepnet_0.2.1.zip, r-oldrel: deepnet_0.2.1.zip |
| macOS binaries: | r-release (arm64): deepnet_0.2.1.tgz, r-oldrel (arm64): deepnet_0.2.1.tgz, r-release (x86_64): deepnet_0.2.1.tgz, r-oldrel (x86_64): deepnet_0.2.1.tgz |
| Old sources: | deepnet archive |
| Reverse imports: | kgschart |
| Reverse suggests: | mlr, qeML |
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These binaries (installable software) and packages are in development.
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