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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 ...
If you are interested in building AI powered applications PyTorch is definitely worth checking out if Deep Learning something you would ...
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.
Look no further than these excellent free resources to master the development of deep learning models using PyTorch ...
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.
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 ...
Deep Learning with Yacine on MSN9d
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 MSN7d
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 ...
Using PyTorch to streamline machine-learning projects A platform that lets surgeons browse videos of past operations has found a way to make its machine learning more effective.
PyTorch is now used at other companies like Microsoft, Toyota, Tesla, Uber, and Genentech. It's been used for drug discovery, identifying cancer cells, making self-driving cars safer, building ...
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