For instance, if you’ve been using PyTorch to train across multiple GPUs, you likely have run into the differences between DataParallel and the newer DistributedDataParallel.

The deep learning framework PyTorch has infiltrated the enterprise thanks to its relative ease of use. Three companies tell us why they chose PyTorch over Google’s renowned TensorFlow framework.

PyTorch and TensorFlow offer distinct advantages that cater to different aspects of the machine learning workflow. Simply follow these insights to make an informed decision that aligns with your ...

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 ...

PyTorch is still growing, while TensorFlow’s growth has stalled. Graph from StackOverflow trends . StackOverflow traffic for TensorFlow might not be declining at a rapid speed, but it’s ...