Package: TeachNet 0.7.1
Georg Steinbuss
TeachNet: Fits Neural Networks to Learn About Backpropagation
Can fit neural networks with up to two hidden layer and two different error functions. Also able to handle a weight decay. But just able to compute one output neuron and very slow.
Authors:
TeachNet_0.7.1.tar.gz
TeachNet_0.7.1.zip(r-4.5)TeachNet_0.7.1.zip(r-4.4)TeachNet_0.7.1.zip(r-4.3)
TeachNet_0.7.1.tgz(r-4.5-any)TeachNet_0.7.1.tgz(r-4.4-any)TeachNet_0.7.1.tgz(r-4.3-any)
TeachNet_0.7.1.tar.gz(r-4.5-noble)TeachNet_0.7.1.tar.gz(r-4.4-noble)
TeachNet_0.7.1.tgz(r-4.4-emscripten)TeachNet_0.7.1.tgz(r-4.3-emscripten)
TeachNet.pdf |TeachNet.html✨
TeachNet/json (API)
NEWS
| # Install 'TeachNet' in R: |
| install.packages('TeachNet', repos = c('https://cranhaven.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/cranhaven/cranhaven.r-universe.dev/issues
Last updated 25 days agofrom:06e129eaff (on package/TeachNet). Checks:3 OK, 5 NOTE. Indexed: no.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Jan 26 2025 |
| R-4.5-win | NOTE | Jan 26 2025 |
| R-4.5-mac | NOTE | Jan 26 2025 |
| R-4.5-linux | NOTE | Jan 26 2025 |
| R-4.4-win | NOTE | Jan 26 2025 |
| R-4.4-mac | NOTE | Jan 26 2025 |
| R-4.3-win | OK | Jan 26 2025 |
| R-4.3-mac | OK | Jan 26 2025 |
Exports:accuracy.mecomputeGrad1computeGrad2computeOutput1computeOutput2confusioncreateWeights1createWeights2crossEntropyfind.ThresholdfitTeachNet1fitTeachNet2is.acctis.datais.decayis.erris.learnis.numberOfNeuronsis.sampleis.sampleLengis.stepMaxis.thres.errorlogisticlogistic.differentialpredict.Weightspredict.Weights2squaredErrorsumCrossEntropysumSquaredErrorTeachNettransformPrediction
Dependencies:
