Unit 7 Overview: Getting Started with Computer Vision

All methods we covered so far were general concepts. In this lecture, we will finally delve into the exciting topic of computer vision. We will start by discussing the differences between working with tabular and image datasets. Then, we will learn how convolutional neural networks work and implement image classifiers in PyTorch. Lastly, we will discuss how we can utilize pretrained models via transfer learning and how to finetune models pretrained with self-supervised learning.

Watch Video 1 Mark complete and go to Unit 8 →