https://github.com/r13i/feedforward-neural-network

An implementation of a Multi-Layer Perceptron in C++
https://github.com/r13i/feedforward-neural-network

c-plus-plus low-level multi-layer-perceptron neural-network perceptron

Last synced: 10 months ago
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An implementation of a Multi-Layer Perceptron in C++

• Host: GitHub
• URL: https://github.com/r13i/feedforward-neural-network
• Owner: r13i
• License: mit
• Created: 2018-09-04T14:10:03.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2018-09-04T14:31:03.000Z (over 7 years ago)
• Last Synced: 2025-02-02T04:41:13.152Z (12 months ago)
• Topics: c-plus-plus, low-level, multi-layer-perceptron, neural-network, perceptron
• Language: C++
• Homepage:
• Size: 40 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# feedforward-neural-network

A basic implementation of a Multi-Layer Perceptron in C++.

The purpose of this project is to understand the working principle of neural networks by building a network from scratch and feeding it with custom data.

Please check source files for more details:

- You can find the implementation of various parts of the neural network, going from a simple `neuron`, to a `layer`, to the whole `network`.

- Both weight and bias neurons are implemented.

- The topology (depth of the network, along with the number of neurons in each layer) could be specified in the `Data.txt` file.

- The data generator actually simulates the behavior of a XOR gate and outputs training data in a non-generic format (Not CSV).

Ressources:

- https://www.youtube.com/watch?v=KkwX7FkLfug