models. To a first approximation, the fastai library is to PyTorch as Keras is to TensorFlow. One significant difference is that PyTorch doesn’t officially support fastai. Of all the excellent ...

Having said all that, TensorFlow is a dependable framework ... scale research with a view to deploying these models in production, then PyTorch is probably your best bet right now.

Both PyTorch and TensorFlow have quite developed ecosystems, including repositories for trained models other than HuggingFace ... it feels so pythonic after all. There is a C++ API, but there ...

Is PyTorch better than TensorFlow for general use cases? originally appeared on Quora: the place to gain and share knowledge, empowering people to learn from others and better understand the world.

It shares this space with another open-source machine-learning framework called PyTorch ... all kinds of realistic media.

Many state-of-the-art deep-learning models are too large and too slow to be used as-is on mobile and IoT devices, which often have constraints on all resources--including power, storage ...

“PyTorch allows us to work on these big models and can understand all integrity issues in a single model,” Carapcea said. “Basically, it fast-tracks this whole cycle of building models.

James McCaffrey of Microsoft Research continues his four-part series on multi-class classification, designed to predict a value that can be one of three or more possible discrete values, by explaining ...