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That's my implementation of a Neural Network from scratch, It's a simple model that uses Dense Layers as a base.

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Basic Neural Network Implementation

This implementation consists of a basic neural network that includes:

  • An implentation of a Dense Layer.
  • An implementation of the backward and forward propagation algorithms.
  • An implementation of the Gradient Descent Algorithm.
  • Customization with epochs and activation functions.
  • Customization of the NN architecture.

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That's my implementation of a Neural Network from scratch, It's a simple model that uses Dense Layers as a base.

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