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Re-implementation of Bekker & Goldbergers Noisy Label Neural Network

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Re-implementation of Bekker & Goldbergers Noisy Label Neural Network

Run experiment with:

$ python NNLNonMNIST.py [-pretrain] [-EM] [-plot]

One, two or all of three flags required.

-pretrain trains neural networks on noisy data (noise fractions predetermined)

-EM runs an EM module based on aforementioned models

-plot !!!currently only prints rather than plots results!!!

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Re-implementation of Bekker & Goldbergers Noisy Label Neural Network

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