This repository provides a guide for implementing and training a sparse autoencoder using PyTorch. This will save the trained model as sparse_autoencoder.pth. Monitor the loss values printed to the ...
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Dr. James McCaffrey of Microsoft Research provides full code and step-by-step examples of anomaly detection, used to find items in a dataset that are different from the majority for tasks like ...
Dr. James McCaffrey of Microsoft Research tackles the process of examining a set of source data to find data items that are different in some way from the majority of the source items. Data anomaly ...
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