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Test Run - Neural Anomaly Detection Using PyTorch RRS feed

  • General discussion

  • Anomaly detection is the process of finding rare items in a dataset. Using the PyTorch library, James McCaffrey presents a demo program that creates a neural autoencoder to handle anomaly detection, which comes with an additional benefit in that neural techniques can handle non-numeric data by encoding that data.

    Read this article in the April 2019 issue of MSDN Magazine

    Monday, April 1, 2019 6:00 PM
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