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DateContents
2019-01-29Details on the final exam have been posted.
2019-01-29Lecture materials and schedule have been updated.
2019-01-11Lecture 2 materials and final project guidelines have been posted.
2019-01-08The Lectures section has been updated.
2019-01-03Please sign up for Piazza and Gradescope!
2018-11-08Welcome to the CS205L 2018-2019 Website!

Summary

A survey of numerical approaches to the continuous mathematics used in computer vision and robotics with emphasis on machine and deep learning. Although motivated from the standpoint of machine learning, the course will focus on the underlying mathematical methods including computational linear algebra and optimization, as well as special topics such as automatic differentiation via backward propagation, momentum methods from ordinary differential equations, CNNs, RNNs, etc.
This course replaces 205A and satisfies all similar requirements.

A Motivational Thought

"Everyone is sure of this [that errors are normally distributed], Mr. Lippman told me one day, since the experimentalists believe that it is a mathematical theorem, and the mathematicians that it is an experimentally determined fact."--Henri Poincaré

General Info

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