This workshop will be the second lecture in our introduction to convolutional neural networks (CNNs). We will continue our learning by applying data augmentation and transfer learning techniques to improve our solution for the classic Dogs-vs-Cats problem using PyTorch. A basic understanding of the topics covered in previous sessions is assumed. Having working experience with Python, Jupyter Notebooks, and linear algebra will be helpful for fully participating in the workshop.

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/tJIkd-6prj0qGd1awUTk9gFm77WRf-Aaap5s