Package: deepnet 0.2.1
deepnet: Deep Learning Toolkit in R
Implement some deep learning architectures and neural network algorithms, including BP,RBM,DBN,Deep autoencoder and so on.
Authors:
deepnet_0.2.1.tar.gz
deepnet_0.2.1.zip(r-4.5)deepnet_0.2.1.zip(r-4.4)deepnet_0.2.1.zip(r-4.3)
deepnet_0.2.1.tgz(r-4.4-any)deepnet_0.2.1.tgz(r-4.3-any)
deepnet_0.2.1.tar.gz(r-4.5-noble)deepnet_0.2.1.tar.gz(r-4.4-noble)
deepnet_0.2.1.tgz(r-4.4-emscripten)deepnet_0.2.1.tgz(r-4.3-emscripten)
deepnet.pdf |deepnet.html✨
deepnet/json (API)
| # Install 'deepnet' in R: |
| install.packages('deepnet', repos = c('https://runxiao.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:6e1efd18ae. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 18 2024 |
| R-4.5-win | OK | Nov 18 2024 |
| R-4.5-linux | OK | Nov 18 2024 |
| R-4.4-win | OK | Nov 18 2024 |
| R-4.4-mac | OK | Nov 18 2024 |
| R-4.3-win | OK | Nov 18 2024 |
| R-4.3-mac | OK | Nov 18 2024 |
Exports:dbn.dnn.trainload.mnistnn.predictnn.testnn.trainrbm.downrbm.trainrbm.upsae.dnn.train
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Training a Deep neural network with weights initialized by DBN | dbn.dnn.train |
| Load MNIST DataSet | load.mnist |
| Predict new samples by Trainded NN | nn.predict |
| Test new samples by Trainded NN | nn.test |
| Training Neural Network | nn.train |
| Generate visible vector by hidden units states | rbm.down |
| Training a RBM(restricted Boltzmann Machine) | rbm.train |
| Infer hidden units state by visible units | rbm.up |
| Training a Deep neural network with weights initialized by Stacked AutoEncoder | sae.dnn.train |
