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If you’re looking to explore deep learning in general using PyTorch, I recommending having a look at the fast.ai course. It will take you through the theory of deep learning and its applications ...
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 ...
[Click on image for larger view.] Figure 1: CNN for MNIST Data Using PyTorch Demo Run After training, the demo program computes the classification accuracy of the model on the training data (96.60 ...
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 ...
How to use PyTorch At the heart of PyTorch are tensors, which are similar to advanced arrays that you might be familiar with from NumPy, but with the added capability of running on GPUs.
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 ...
We call ML outputs predictions, but they can be anything. If you’re using computer vision, they can be identified objects. If you’re using a language model, they’re intent or translations.
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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