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This repository includes discrete and independent code files in which various neural network algorithms and methods are implemented

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prats13bag/NeuralNetworks

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Course Projects of CS 559: Neural Networks

Algorithms and/or methods implemented:

  • Perceptron Training Algorithm
  • Multicategory Perceptron Training Algorithm
  • Gradient Descent and Newton's Method
  • Linear Least Squares Fit
  • Curve Fitting using Backpropagation
  • Non Linear Support Vector Machine

Software installations required to run code:

  • Anaconda Python distribution - prefereably Anaconda3 with python 3.6
  • pip packages imported at the top of the notebook files

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This repository includes discrete and independent code files in which various neural network algorithms and methods are implemented

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