THE VIDEO SHELF · dropout and neural networks
Brains, Sex, and Machine Learning
Geoffrey Hinton's Google Tech Talk linking machine learning to biology, explaining dropout as a form of model averaging and why sexual reproduction and stochastic spiking neurons may prevent overfitting.
Why HN readers recommended it
Recommended as a simple, elegant explanation of dropout and its connection to how the brain works.
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
- dropout and neural networks
- Format
- talk
- Level
- intermediate
- HN recommenders in dataset
- 7
- HN mentions in dataset
- 12
- Recommendation years in dataset
- 2012–2017
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.
Here is a GREAT talk by Geoffrey Hinton (the Prof running said lab) [VIDEO] where he explains the method. Unfortunately, even though it was posted three times to HN [LINK] it never made the fron page. Here is the my summary and comment: " Great …
FrojoS on Hacker News · 2012-11
In Microsoft turns spoken English into spoken Mandarin – in the same voiceIt seems the relationship between the brain and deep learning has evolved in such a way that the later can help with insights into how the former works. In this regard, I thought I would mention the extraordinary simple and elegant talk by G. Hinton …
pilooch on Hacker News · 2013-05
In Andrew Ng and the Quest for the New AII would highly recommend this video [VIDEO] from Geoffrey Hinton in 2012 that I think is related to this research.
eveningcoffee on Hacker News · 2015-11
In Neural Networks with Few Multiplications
Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.