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The Data Science Lab How to Create and Use a PyTorch DataLoader Dr. James McCaffrey of Microsoft Research provides a full code sample and screenshots to explain how to create and use PyTorch Dataset ...
Deep Learning with Yacine on MSN7d
Intersection over Union (IoU) Explained with PyTorch
Understand how Intersection over Union (IoU) works and how to implement it using PyTorch. This metric is essential for ...
Deep Learning with Yacine on MSN5d
Network in Network (NiN) Deep Neural Network Explained with PyTorch
Learn how Network in Network (NiN) architectures work and how to implement them using PyTorch. This tutorial covers the concept, benefits, and step-by-step coding examples to help you build better ...
Although it's possible to create a neural network using raw code, in most cases a better approach is to use a neural network code library. One of the most widely used neural code libraries is PyTorch.
For this reason, I wouldn’t recommend using the PyTorch website as your primary resource for learning. Nevertheless, it’s a useful resource to have on hand — and the best place to learn how ...
PyTorch is an open-source machine learning library used for a wide range of tasks in the field of artificial intelligence and machine learning. Keep reading this post to learn how to install it on ...
Using a mix of PyTorch, a framework co-created by Facebook, and machine-learning platform Allegro Trains, med-tech company theator is now providing surgeons with a tool that lets them watch over ...
Microsoft today announced PyTorch Enterprise, a new Azure service that provides developers with additional support when using PyTorch on Azure. It’s basically Microsoft’s commercial support ...
Combining PyTorch with Microsoft Azure Machine Learning, AstraZeneca's technology can comb through massive amounts of data to gain new insights about the complex links between drugs, diseases ...
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