PyTorch 1.0: Bringing research and production together
Dmytro Dzhulgakov explores PyTorch 1.0, from its start as a popular deep learning framework for flexible research to its evolution into an end-to-end platform for building and deploying AI models at production scale.
| Talk Title | PyTorch 1.0: Bringing research and production together |
| Speakers | Dmytro Dzhulgakov (Facebook) |
| Conference | Artificial Intelligence Conference |
| Conf Tag | Put AI to Work |
| Location | London, United Kingdom |
| Date | October 9-11, 2018 |
| URL | Talk Page |
| Slides | Talk Slides |
| Video | |
Dmytro Dzhulgakov explores PyTorch 1.0, from its start as a popular deep learning framework for flexible research to its evolution into an end-to-end platform for building and deploying AI models at production scale. Dmytro leads a deep dive into PyTorch’s hybrid frontend, which gives AI developers the ability to seamlessly transition between imperative execution for prototyping and declarative execution for production. He also covers recent additions and the future roadmap of the platform, including tools for efficient cross-platform execution and scalable distributed training.
