Fall 2026 · Lecture 14 · October 19, 2026
Convolutional neural networks
Learning image representations with convolutional layers and convolutional neural networks.
Learning goals
- Explain how convolutional layers process image inputs.
- Describe weight sharing and local receptive fields.
- Understand the structure of convolutional neural networks.
Materials
Lecture notes
Additional notes and examples will be added here.
Lecture extensions
Course materials and optional topics
Four independently reviewed sections
Assignment pending
Develop the assigned part of the lecture’s core course materials.
The course team will assign this section through a GitHub issue.
Assignment pending
Develop the assigned part of the lecture’s core course materials.
The course team will assign this section through a GitHub issue.
Assignment pending
Develop an optional extension, application, or related topic assigned for this lecture.
The course team will assign this section through a GitHub issue.
Assignment pending
Develop an optional extension, application, or related topic assigned for this lecture.
The course team will assign this section through a GitHub issue.