Deep Learning for Computer Vision: Fundamentals and Applications

	Weizmann Institute of Science 20214182 Deep Learning for Computer Vision: Fundamentals and Applications
Spring 2021
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Course Overview

This course covers the fundamentals of deep-learning based methodologies in area of computer vision. Topics include: core deep learning algorithms (e.g., convolutional neural networks, optimization, back-propagation), and recent advances in deep learning for various visual tasks. The course provides hands-on experience with deep learning for computer vision: implementing deep neural networks and their components from scratch, tackling real world tasks in computer vision by desigining, training, and debugging deep neural networks using leading frameworks (PyTorch, Tensorboard).