Difference between revisions of "Neural Network"
(→Opening the Black Box) |
(→Opening the Black Box) |
||
| Line 21: | Line 21: | ||
* [http://arxiv.org/pdf/1703.00810.pdf Opening the Black Box of Deep Neural Networks via Information | Ravid Schwartz-Ziv and Naftali Tishby - The Hebrew University of Jerusalem] | * [http://arxiv.org/pdf/1703.00810.pdf Opening the Black Box of Deep Neural Networks via Information | Ravid Schwartz-Ziv and Naftali Tishby - The Hebrew University of Jerusalem] | ||
** [http://syncedreview.com/2019/06/14/peeking-inside-dnns-with-information-theory/ Peeking Inside DNNs With Information Theory | Joaquin Alori - Synced] | ** [http://syncedreview.com/2019/06/14/peeking-inside-dnns-with-information-theory/ Peeking Inside DNNs With Information Theory | Joaquin Alori - Synced] | ||
| + | * [http://www.quantamagazine.org/new-theory-cracks-open-the-black-box-of-deep-learning-20170921/ New Theory Cracks Open the Black Box of Deep Learning | Natalie Wolchover - QuantaMagazine] | ||
<youtube>bLqJHjXihK8</youtube> | <youtube>bLqJHjXihK8</youtube> | ||
Revision as of 13:46, 22 June 2019
YouTube search... ...Google search
- Deep Learning
- AI Solver
- Capabilities
- Deep Learning’s Uncertainty Principle
- Andrew Ng's Deep Learning
Opening the Black Box
- Opening the Black Box of Deep Neural Networks via Information | Ravid Schwartz-Ziv and Naftali Tishby - The Hebrew University of Jerusalem
- New Theory Cracks Open the Black Box of Deep Learning | Natalie Wolchover - QuantaMagazine
