
December 17, 2021
Core Data Science at Facebook
Core Data Science at Facebook
The third video in the AI Education series discusses Convolutional Neural Nets. ConvNets are particularly useful for recognizing natural signals like images, videos, speech, music, and even text, once they have been trained with a large database of examples. To train a network well, you need to provide large amounts of images that have been labeled by humans. The ConvNet learns to associate each image to its corresponding label.
December 17, 2021
Core Data Science at Facebook
December 17, 2021
Computational Social Science
December 17, 2021
Common Networks Deploys Terragraph to Serve Customers in California
December 17, 2021
ARCH: Animatable Reconstruction of Clothed Humans
December 17, 2021
World Effects Framework
December 17, 2021
Wish You Were Here: Context Aware Human Generation
December 17, 2021
What Makes Training Multi-Modal Networks Hard?
December 17, 2021
Using social media data to help measure smoke exposure
December 17, 2021
Using Data to Help Communities Recover and Rebuild