prats13bag/neuralnetworks

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

Course Projects of CS 559: Neural Networks

Instructor: Prof. Erdem Koyuncu

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

References

• Pandas
• NumPy
• CVXOPT
• Matplotlib