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RP_AutoEncoderComparison
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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