Chapter
Active and Transfer Learning in Deep Learning
41:21 - 46:25 (05:04)
Professor Jeremy Howard discusses the challenges of active learning and how transfer learning can make deep learning more accessible and efficient for people without large amounts of data and resources.
Clips
Transfer Learning can potentially reduce resources and data needed for world-class work, but despite being a world-changing thing, this advancement has no significant practical impact due to scientists focusing mainly on publishing research studies familiar to their peers.
41:21 - 43:13 (01:52)
AI
Summary
Transfer Learning can potentially reduce resources and data needed for world-class work, but despite being a world-changing thing, this advancement has no significant practical impact due to scientists focusing mainly on publishing research studies familiar to their peers.
ChapterActive and Transfer Learning in Deep Learning
EpisodeJeremy Howard: fast.ai Deep Learning Courses and Research
PodcastLex Fridman Podcast
Jeremy Howard discusses his experience teaching deep learning and his fascination with transfer learning and active learning in AI.
43:13 - 46:25 (03:11)
Artificial Intelligence
Summary
Jeremy Howard discusses his experience teaching deep learning and his fascination with transfer learning and active learning in AI. He also mentions his involvement in a startup called Platform AI, which focuses on active learning.