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Artificial Neural Network Algorithms

Jupyter Notebook 62.93% Python 37.07%
neural-networks machine-learning-algorithms artificial-neural-networks radial-basis-function convolutional-neural-networks perceptron-learning-algorithm multi-layer-perceptron single-layer-perceptron mnist-dataset recurrent-neural-networks

building-artificial-neural-networks's Introduction

Building-Artificial-Neural-Networks

This project currently implements the fundamentals of Artificial Neural Networks along with its applications in specific Domains.

As part of Course project

Categories Implemented

The categories implemented till now are:

  • Single Layer Perceptron
    • For House Votes Prediction
  • Multi Layer Perceptron
    • For House Votes Prediction
  • Radial Basis Function
    • For MNIST Data Classification
  • Recurrent Neural Networks
    • Amazon Reviews Sentiment Prediction
  • Convolution Neural Networks
    • Flower Recognition

Modules Used

  • Tensorflow
  • Keras
  • Seaborn, Matplotlib

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