We will give a general introduction to PyTorch, a popular deep learning framework, with practical illustrations on the primary usage of tensors and automatic differentiation, and on solving a simple temperature-conversion problem using PyTorch. The knowledge of topics covered in the previous session about machine/deep learning is assumed. Working experience with Python and Jupyter Notebooks will be helpful in following the demos.

Any questions about this workshop can be emailed to Qiyang Hu at huqy@oarc.ucla.edu

Presented by the Office of Advanced Research Computing (OARC).

Register here: https://ucla.zoom.us/meeting/register/tJUrce-uqTMsG93PJMf3Ii0eSd-CwCaE8NTJ