PyTorch is celebrated for its dynamic computational graph that allows for flexible model architectures, and its speed in processing artificial neural networks. It’s widely used in both academic ...

If you're an experienced programmer but new to PyTorch, the call to the neural network seems to make no sense. Where is the forward() method? Why does it look like the Net object is being ...

When using the PyTorch neural network library to create a machine learning prediction model, you must prepare the training data and write code to serve up the data in batches. In situations where the ...

Learn how to train a neural network to recognize hand-drawn digits using PyTorch! A fun and beginner-friendly intro to deep learning and computer vision.

skorch. skorch is a scikit-learn compatible neural network library that wraps PyTorch. The goal of skorch is to make it possible to use PyTorch with sklearn. If you are familiar with sklearn and ...

Learn about the Network in Network architecture and its impact on improving performance in deep neural networks using PyTorch. Deep Learning with Yacine Posted: May 16, 2025 | Last updated: May 16 ...

Scientists Figured Out How to Make Neural Networks 90 Percent Smaller—but Just as Smart. Now that AI can get the job done without the dead weight, the applications could be huge.

PyTorch provides a set of abstractions and features that can help build more complex models, with support for tensors and neural networks. Tensors make it easy to work with large multidimensional ...

During a talk for PyTorch, an open-source machine learning library at Devcon, Karpathy gave a quick but very informative talk about how Tesla uses machine learning to train its neural networks ...