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:
- 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:
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