Machine Learning Experiments

A Python3 repo where multiple, independent, Machine Learning programs are shared.

Each folder (with the exception of the "common" folder) has a self-contained Machine Learning program that can be independently executed.

Here is a list of what each of them do:

1. noisy

• Goal: Train a model to clean-up noised images
• Category: Multioutput-Multiclass classification (a.k.a simply "Multioutput classification")
• Summary: This trains a model using pairs of noised and clean MNIST images.
• Prediction examples:

Inputs	Outputs