Dr. James McCaffrey of Microsoft Research kicks off a four-part series on multi-class classification, designed to predict a value that can be one of three or more possible discrete values. The goal of ...

The process of creating a PyTorch neural network for regression consists of six steps: Prepare the training and test data Implement a Dataset object to serve up the data in batches Design and ...

For many surgeons, the possibility of going back into the operating room to review the actions they carried out on a patient could provide invaluable medical insights. Using a mix of PyTorch, a ...

PyTorch is an open-source machine learning framework that is used for the creation and training of deep learning models. These can then be applied in a variety of use cases, mostly concerned with the ...

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The powerful deep learning system for Python now makes it easier to integrate high performance C++ code and train models on multiple machines at once PyTorch, the Python framework for quick-and-easy ...