Demystifying PyTorch

Sherin Thomas (~sherin)


2

Votes

Description:

PyTorch is one of the most prominent deep learning framework available now. Being initialized as a research-oriented framework, it has got a lot of attention even among industry practitioners which lead to the merger of caffe2, production-ready deep learning frameworks, into the core of PyTorch. In this dev sprint, we'll start with setting up a pytorch environment. We will go through the internals of PyTorch and the renowned JIT, TORCHSCRIPT & productionizing capabilities of PyTorch models.

Prerequisites:

  • A fair idea about what PyTorch is
  • Basic working experience with PyTorch or Numpy
  • It is better if participants can clone pytorch (with all the submodules) and install it from source

Speaker Info:

I am working as a part of the development team of [Tensor]werk, an infrastructure development company focusing on deep learning deployment problems. I and my team focus on building open source tools for setting up a seamless deep learning workflow this includes RedisAI & hangar. I have been programming since 2012 and started using python since 2014 and moved to deep learning in 2015. I am an open source enthusiast and have contributed to the core of several widely used projects like PyTorch. I spend most of my research time on improving the interpretability of AI models using TuringNetwork. I have authored a deep learning book. I go by hhsecond on internet

Speaker Links:

hhsecond.com

Section: Data Science, Machine Learning and AI
Type: DevSprint
Target Audience: Intermediate
Last Updated: