This repo contains all of the files, slides, notes for the Machine Learning (CSE445) course. Denoising using an autoencoder is mainly a modification on the network to prevent it from learning the identity function. The autoencoder sometimes becomes so big that it only learns the data and makes the output as input. It doesn’t perform any dimensio…

Independent study on digital image processing with a focus on computer vision and image super-resolution

This project uses autoencoders to denoise MNIST images, aiming to improve handwritten digit recognition by refining classifier training data

Image denoising using Convolutional Autoencoders.