Deep learning is transforming the way we approach complex problems in various fields, from image recognition to natural language processing. Among the tools available to researchers and developers, ...
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 ...
PyTorch 1.10 is production ready, with a rich ecosystem of tools and libraries for deep learning, computer vision, natural language processing, and more. Here's how to get started with PyTorch.
The Data Science Lab Binary Classification Using New PyTorch Best Practices, Part 2: Training, Accuracy, Predictions Dr. James McCaffrey of Microsoft Research explains how to train a network, compute ...
Multi-Class Classification Using New PyTorch Best Practices, Part 2: Training, Accuracy, Predictions
Following new best practices, Dr. James McCaffrey of Microsoft Research revisits multi-class classification for when the variable to predict has three or more possible values. This is the second of ...
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