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Building Applications with the Neural Network Repository
Tuseeta Banerjee and Matteo Salvarezza
Learn how to build applications with models from the Wolfram Neural Net Repository and get an overview of some of the newest models available for classification, feature extraction, image processing, speech, audio and more. See applications by students from Wolfram summer programs and observe real-time examples of model training with data. A final real-world example applies computer vision tasks to digital pathology for the purposes of cancer diagnosis.
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Notebook link: https://wolfr.am/OKVe1Ef9 |
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