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 of ...

Overview: NumPy is ideal for data analysis, scientific computing, and basic ML tasks.PyTorch excels in deep learning, GPU ...

Not every regression or classification problem needs to be solved with deep learning. For that matter, not every regression or classification problem needs to be solved with machine learning. After ...

For many surgeons, the possibility of going back into the operating room to review the actions they carried out on a patient could provide invaluable medical insights. Using a mix of PyTorch, a ...

PyTorch is an open-source machine learning library. While it can be used for a wide range of tasks, it is particularly ...

At last week's Spark AI Summit Europe, we had the chance to discuss with some of the rock stars of this community. MLFlow's new version was presented in Databricks Chief Technologist Matei Zaharia's ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Fast.ai today announced the full 1.0 release of fastai, a free, open ...

In the dynamic world of machine learning, two heavyweight frameworks often dominate the conversation: PyTorch and TensorFlow. These frameworks are more than just a means to create sophisticated ...

In this video from CSCS-ICS-DADSi Summer School, Atilim Güneş Baydin presents: Deep Learning and Automatic Differentiation from Theano to PyTorch. Inquisitive minds want to know what causes the ...

This article is part of the VB Lab Microsoft / NVIDIA GTC insight series. With the rapid pace of change taking place in AI and machine learning technology, it’s no surprise Microsoft had its usual ...