Lecture 8 Part 2: Automatic Differentiation on Computational Graphs
Description: Complicated computational processes can be expressed as “graphs” of computational steps that flow from inputs to outputs. Forward- and reverse-mode automatic differentiation (AD) traverse in opposite directions, giving very different algorithms.
Instructors: Alan Edelman, Steven G. Johnson
Course Info
Instructors
Departments
As Taught In
January IAP
2023
Level
Learning Resource Types
edit_note
Editable Files
Instructor Insights
notes
Lecture Notes
theaters
Lecture Videos
assignment_turned_in
Problem Set Solutions
assignment
Problem Sets
auto_stories
Readings
