CS 230: Deep Learning

Instructor: Andrew Ng

Course Website

Lecture Playlist

Notes of Hinton's Lecture Series

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Relevant Courses

Coursera Deep Learning Specialization

• Main content for CS 230. In-person lectures are also conducted to explain Coursera materials in more depth.

CS 231n: Deep Learning for Computer Vision at Stanford University

• This is widely believed to be a harder version of CS 230.
• 2017 Lecture Playlist

EECS 498-007/598-005: Deep Learning for Computer Vision at University of Michigan

• Prof. Justin Johnson, who was the main instructor of the Stanford course in 2017, taught this updated version of the course at University of Michigan, which covers more recent topics like like Attention, 3D construction, etc. The course was make available to general public via Michigan Online.
• 2019 Lecture Playlist

CS 182: Deep Neural Networks at UC Berkeley

• Adjacent course at UC Berkeley.
• Refer to hidden playlist for Spring 2023 Lecture recordings.

Reference Resources (Notes/Books)

• Geoffrey E. Hinton Coursera Lecture Series | Slides
• Deep Learning textbook by Ian Goodfellow, Yoshua Bengio and Aaron Courville
• Dive into Deep Learning