PyTorch gets its name from the Torch library, which is another open-source deep learning ... datasets, which can significantly reduce the amount of data and training time required for a model ...

The PyTorch tutorial page offers two tracks: One for those familiar with other deep learning frameworks and one for newbs. If you need the newb track, which introduces tensors, datasets ...

Everything we know about the really useful AI model comparison ... What can you use PyTorch for? PyTorch is used for building and training deep learning models across multiple domains.

We focus on open datasets ... training CNET Occasionally, these can look deceptively simple. Could this be a problem? For example, when showcasing PyTorch's abstraction for distributed deep ...

PyTorch 1.0 shines for rapid prototyping with dynamic neural networks, auto-differentiation, deep Python integration, and strong support for GPUs Deep learning is an important part of the business ...

In collaboration with the Metal engineering team at Apple, PyTorch today announced that its open source machine learning framework will soon support GPU-accelerated model training on Apple silicon ...