 Kevin Alberts
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d0785e12e2
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Small changes to make the US weather dataset work properly, example test runs in config file.
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2021-01-29 10:52:49 +01:00 |
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Kevin Alberts
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e4c51e2d3d
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Allow loss function to be defined by the dataset. Add specialized loss function for US weather dataset
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2021-01-21 21:47:00 +01:00 |
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Kevin Alberts
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f6a19c4921
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Allow input shape to be defined by dataset, save loss values as csv after training, implemented basic version of US weather dataset, but it is very slow and has bad results probably due to input encoding issue
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2021-01-20 21:48:31 +01:00 |
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Kevin Alberts
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f76374111c
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Add mssim score calculation, corrupt test data before testing, clip noise to avoid invalid values
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2021-01-17 16:59:14 +01:00 |
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Kevin Alberts
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bc95548ae3
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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)
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2021-01-14 18:45:26 +01:00 |
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Kevin Alberts
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fb9ce46bd8
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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
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2020-12-29 18:44:44 +01:00 |
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Kevin Alberts
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62f9b873e9
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First basic auto-encoder and CIFAR-10 dataset implemented
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2020-12-28 13:09:18 +01:00 |
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Kevin Alberts
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51cc5d1d30
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Initial, very basic framework for running comparison tests
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2020-11-24 17:19:46 +01:00 |
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