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Intermediate
Artificial Intelligence & Machine Learning
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Brain and Cognitive Sciences Computational Tutorial: Optimizing the Full Stack for Generative Image and Video Models
MIT OpenCourseWare
Platform
· Cambridge, USA
About this course
This tutorial covers optimization strategies for diffusion models used in image and video generation, including architecture design, hardware efficiency, and inference techniques. It is part of a seminar series led by graduate students and postdocs in the MIT Department of Brain and Cognitive Sciences (BCS), featuring topics relevant to research on intelligence in neuroscience, cognitive science, and artificial intelligence. The tutorials are aimed at participants who have some computational background but are not experts on these topics.
Prerequisite Skills
Skills you should have before taking this course
linear algebra
probability and statistics
Basic Machine Learning Concepts
Python Programming
deep learning fundamentals
Skills Gained
Skills you will develop by completing this course
Model Optimization
diffusion models
generative image models
generative video models
neural network architecture design
hardware efficiency optimization
inference optimization
artificial intelligence in cognitive science