Manolis Kellis
@manoliskellis1·24.9K subscribers·255 videos
MIT Deep Learning Genomics - Lecture 5 - Model Interpretability (Spring 2020)
Posted
February 24, 2020
Views
2,401
Likes
40
Engagement
1.67%
February 24, 2020
2,401
40
1.67%
Every word spoken in this episode is indexed. Type any phrase to jump straight to the moment it was said.
Type any word or phrase that may have been spoken. Click a result to seek the player to that exact moment.
Try a name, a topic, or a quoted line
See what was published immediately before and after this episode.
1:18:36Now PlayingMIT 6.874 Lecture 5. Spring 2020
Course website
Lecture slides
Guest Lecturer: Brandon Carter
Lecture outline:
The interpretation of deep models
– Black box methods (test model from outside)
– White box methods (look inside of model)
– Input dependent vs. input independent interpretations
Sentinel Indexing in Progress
Metadata and chapters are available. Claim extraction for this episode is pending.
All video content is delivered via YouTube embedded players in accordance with the YouTube Terms of Service. Sentinel provides research tools that promote discovery and accountability across political media.
