5 commits

This branch

This branch

All branches

Author	SHA1	Message	Date
Kevin Alberts	f76374111c	Add mssim score calculation, corrupt test data before testing, clip noise to avoid invalid values	2021-01-17 16:59:14 +01:00
Kevin Alberts	bc95548ae3	Move saving of samples to dataset, as the process differs per dataset. Add MNIST dataset. Allow saving labels with the dataset (for use in tabular data in the future)	2021-01-14 18:45:26 +01:00
Kevin Alberts	fb9ce46bd8	Implement types of auto-encoders and corruption, use log scale in loss graphs, lots of helper function hooks in training process to allow implementations ... - Encoders: sparse, denoising, contractive and variational - Noise: gaussian	2020-12-29 18:44:44 +01:00
Kevin Alberts	62f9b873e9	First basic auto-encoder and CIFAR-10 dataset implemented	2020-12-28 13:09:18 +01:00
Kevin Alberts	51cc5d1d30	Initial, very basic framework for running comparison tests	2020-11-24 17:19:46 +01:00