Noise2Noise autoencoder

Project for the course EE-559 : Deep Learning.

Submitted on Saturday, 28 May 2022, 01:15.

Recap and results:

Miniproject_1 consist of implementing a Noise2Noise autoencoder using PyTorch framework.

Miniproject_2 consist of implementing the same Network from scratch (without PyTorch framework).

Here are results of both model trained under same conditions, on 3 random images of the validation set: