Suzanne Stathatos - Lecture 5 - Pytorch, Common Architectures, and Computer Vision Tasks

Join Suzanne Stathatos a PhD Candidate from Caltech for an in-depth exploration of PyTorch, common architectures, and computer vision tasks. This is the 5th lecture in the Computer Vision for Ecology Summer Workshop at Caltech, 2023. In this lecture, you'll gain an overview of: - Fundamental concepts of machine learning models: Gradient Descent, In- and Equivariance - Computer Vision (CV) Tasks: Uncover the diverse range of computer vision tasks, encompassing classification, localization, bounding-box detection, pose estimation, segmentation, and tracking. - Network Architectures: Understand what is a What is a Neural Network, Deep Learning, and which common deep learning architectures go with which CV Task. Slides at https://docs.google.com/presentation/d/13Oe_z4OR4TmZfKtRPLX3gHBF5q4UsiZZ-rcYXcRNSN0/edit?usp=sharing