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Deep Learning Module with Numpy

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Overview

This repository contains a deep learning module implemented in Python using only the NumPy library. The module includes a neural network that is designed and implemented from scratch.

Features

  • Neural Network Architecture: The repository includes a customizable neural network.

  • Activation Functions: I only use the sigmoid function for now as activation function.

  • Optimizers: I use the gradient descent in back-propagation to teach to my model.

  • Data Preprocessing: CSV files are readable for some formats.

Getting Started

Prerequisites

  • Python 3.x
  • NumPy
  • pickle Install the required dependencies using:
pip install -r requirements.txt

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