Package: simpleMLP 1.0.0
simpleMLP: Simple Multilayer Perceptron Neural Network
Create and train a multilayer perceptron, a type of feedforward, fully connected neural network. Features 2 ReLU hidden layers. Learn more about about the activation functions and backpropagation used by this network in Goodfellow et al. (2016, ISBN: 9780262035613) "Deep Learning".
Authors:
simpleMLP_1.0.0.tar.gz
simpleMLP_1.0.0.zip(r-4.5)simpleMLP_1.0.0.zip(r-4.4)simpleMLP_1.0.0.zip(r-4.3)
simpleMLP_1.0.0.tgz(r-4.4-any)simpleMLP_1.0.0.tgz(r-4.3-any)
simpleMLP_1.0.0.tar.gz(r-4.5-noble)simpleMLP_1.0.0.tar.gz(r-4.4-noble)
simpleMLP_1.0.0.tgz(r-4.4-emscripten)simpleMLP_1.0.0.tgz(r-4.3-emscripten)
simpleMLP.pdf |simpleMLP.html✨
simpleMLP/json (API)
NEWS
# Install 'simpleMLP' in R: |
install.packages('simpleMLP', repos = c('https://cullenpu.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/cullenpu/simplemlp/issues
Last updated 4 years agofrom:aa43f26291. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 10 2024 |
R-4.5-win | OK | Nov 10 2024 |
R-4.5-linux | OK | Nov 10 2024 |
R-4.4-win | OK | Nov 10 2024 |
R-4.4-mac | OK | Nov 10 2024 |
R-4.3-win | OK | Nov 10 2024 |
R-4.3-mac | OK | Nov 10 2024 |
Exports:evaluateinit_nnload_mnisttrain_nn
Dependencies:bitbit64clicliprcolorspacecpp11crayonfansifarverggplot2gluegtablehmsisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigprettyunitsprogressR6RColorBrewerreadrrlangscalestibbletidyselecttzdbutf8vctrsviridisLitevroomwithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Backpropagation | backprop |
Evaluate Model | evaluate |
Forward propagation | forwardprop |
Initialize network | init_nn |
Load Training Data | load_mnist |
One Hot Encoding | one_hot_encoding |
Plot Accuracy | plot_accuracy |
Train Network | train_nn |
Update Model | update |