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Multi-layer perceptron with back-propagation implemented from scratch

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MichaelBehr/MLP_Backpropagation

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MLP_Backpropagation

Multi-layer perceptron with back-propagation implemented from scratch. Uses vectorized math to improve the speed of the calculations (compared to forloops).

Features

Some features are:

  • 3 Layer design
  • Parameter Tuning
  • Batch size selection
  • epoch selection
  • Learning rate selection
  • Hidden Layer Neuron Selection

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Multi-layer perceptron with back-propagation implemented from scratch

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