https://github.com/gsteixeira/neuralnetwork-r

A neural network implementation in R
https://github.com/gsteixeira/neuralnetwork-r

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A neural network implementation in R

• Host: GitHub
• URL: https://github.com/gsteixeira/neuralnetwork-r
• Owner: gsteixeira
• Created: 2021-10-01T03:02:02.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2021-10-01T03:40:10.000Z (about 3 years ago)
• Last Synced: 2023-12-14T16:57:42.618Z (11 months ago)
• Language: R
• Size: 3.91 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# A Neural Network in R

A simple neural network implementation in R

## usage:

```shell

    Rscript neural.R

    # or

    make

```

## Create a neural network:

Create a network telling the size (nodes) of earch layer.

```R

    input_size <- 2

    output_size <- 1

    # training parameters

    inputs <- array(c(0, 1, 0, 1, 0, 0, 1, 1), dim=c(4, input_size))

    outputs <- array(c(0.0, 1.0, 1.0, 0.0), dim=c(4, output_size))

    # Create the network

    nn <- NewNeuralNetwork(num_input_layer, output_size, num_hidden_nodes)

    # Train

    iteracions <- 10000

    nn <- train(nn, inputs, outputs, iteracions)

    # now make some predictions

    predicted <- predict(nn, c(1, 0));

    print(predicted)

    # ~ [0.9]

```

## to run tests:

```shell

    Rscript neural.R test

    # or

    make test

```