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 ...

Computers generated a great deal of excitement in the 1950s when they began to beat humans at checkers and to prove math theorems. In the 1960s the hope grew that scientists might soon be able to ...

Deep learning techniques currently achieve state of the art performance in a multitude of problem domains (vision, audio, robotics, natural language processing, to name a few). Recent advances in Deep ...