THE VIDEO SHELF · deep belief networks
Recent Developments in Deep Learning
Geoff Hinton's 2010 Google Tech Talk on deep belief networks, learning layers of representation one at a time from unlabeled data, and extending them with multiplicative interactions.
Why HN readers recommended it
Cited as a watchable early introduction to deep learning from its pioneer, and remembered as a mind-blowing moment in the field.
This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.
Video & recommendation details
- Creator / channel
- Google TechTalks
- Topic
- deep belief networks
- Format
- talk
- Level
- advanced
- HN recommenders in dataset
- 3
- HN mentions in dataset
- 9
- Recommendation years in dataset
- 2010–2026
These counts and years describe the included Hacker News records; they are not YouTube views or the video’s publication date.
From the original HN conversations
Excerpts from the recorded comments. Follow each source for the full comment and surrounding discussion.
Have you seen the online courses? [LINK] (From one of the authors of this paper!) [LINK] [LINK] Prof. Hinton's videos are very watchable: [LINK] [VIDEO]
Devilboy on Hacker News · 2012-06
In Building high-level features using large scale unsupervised learningThere's a very good Google Tech Talk by Geoff Hinton (who has worked closely with Dahl on a lot of this research and developed some of the key algorithms in this field) that explains how to build deep belief networks using layers of RBMs: [LINK] …
tylerhobbs on Hacker News · 2012-06
In Microsoft Research make breakthrough in audio speech recognitionThere's a great Google Tech Talk by Geoff Hinton that serves as a slightly technical introduction to Deep Learning if anyone's interested: [VIDEO]
markovbling on Hacker News · 2014-03
In Is Google Cornering the Market on Deep Learning?
Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.