Neural Networks and Deep Learning

This repository contains all of my Neural Networks and Deep Learning (Fall 2021) projects.

Here's a list of my projects:

1. Project 1 Report - Topics: CNN, Transfer Learning, Semantic Segmentation, Object Detection(Bocce Ball)
2. Project 2 Report - Topics: Music Generation, Pitch Detection, Lyrics Generation, Sound Processing
3. Project 3 Report - Topics: AC-GAN, DCGAN, WGAN, Video/Image Colorization

Here's a list of my homework:

1. Homework 1 Report - Topics: Mcculloch Pitts, AdaLine, MAdaLine, Perceptron, Madaline
2. Homework 2 Report - Topics: MLP Classification, MLP Regression, Autoencoders, PCA, Dimension Reduction
3. Homework 3 Report - Topics: Hebbian Learning Rule, Auto-associative Network, Discrete Hopfield Network, Bidirectional Associative Network
4. Homework 4 Report - Topics: Mexican-hat, MaxNet, HammingNet, SOM
5. Extra Homework Report - Topics: Reinforcement Learning