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|Nov 27 ||Mahmood Gohari || ||Deep Neural Nets as a Method for Quantitative Structure–Activity Relationships ||[http://pubs.acs.org/doi/abs/10.1021/ci500747n.pdf Paper]|| | |Nov 27 ||Mahmood Gohari || ||Deep Neural Nets as a Method for Quantitative Structure–Activity Relationships ||[http://pubs.acs.org/doi/abs/10.1021/ci500747n.pdf Paper]|| | ||
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|Nov 27 ||Fatemeh Karimi || ||Connectomic reconstruction of the inner plexiform layer in the mouse retina ||http://www.nature.com/nature/journal/v500/n7461/pdf/nature12346.pdf|| | |Nov 27 ||Fatemeh Karimi || ||Connectomic reconstruction of the inner plexiform layer in the mouse retina ||[http://www.nature.com/nature/journal/v500/n7461/pdf/nature12346.pdf]|| | ||
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|Dec 4 || Chris Choi || || On the difficulty of training recurrent neural networks || [http://www.jmlr.org/proceedings/papers/v28/pascanu13.pdf Paper] || [[On the difficulty of training recurrent neural networks | Summary]] | |Dec 4 || Chris Choi || || On the difficulty of training recurrent neural networks || [http://www.jmlr.org/proceedings/papers/v28/pascanu13.pdf Paper] || [[On the difficulty of training recurrent neural networks | Summary]] | ||
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|Dec 4 || || || |||| | |Dec 4 || || || |||| |
Revision as of 15:29, 2 October 2015
Date | Name | Paper number | Title | Link to the paper | Link to the summary |
Example | Ali Ghodsi | 1 | Deep sparse rectifier neural networks. | Paper | Summary |
Oct 16 | pascal poupart | Guest Lecturer | |||
Oct 16 | pascal poupart | Guest Lecturer | |||
Oct 23 | |||||
Oct 23 | |||||
Oct 30 | Rui Qiao | Going deeper with convolutions | Paper | Summary | |
Oct 30 | Amirreza Lashkari | Overfeat: integrated recognition, localization and detection using convolutional networks. | Paper | Summary | |
Nov 6 | Anthony Caterini | Human-level control through deep reinforcement learning | Paper | Summary | |
Nov 6 | |||||
Nov 13 | |||||
Nov 13 | |||||
Nov 20 | Valerie Platsko | Natural language processing (almost) from scratch. | Paper | ||
Nov 20 | Brent Komer | Convolutional Neural Network-based Place Recognition | Paper | Summary | |
Nov 27 | Mahmood Gohari | Deep Neural Nets as a Method for Quantitative Structure–Activity Relationships | Paper | ||
Nov 27 | Fatemeh Karimi | Connectomic reconstruction of the inner plexiform layer in the mouse retina | [1] | ||
Dec 4 | Chris Choi | On the difficulty of training recurrent neural networks | Paper | Summary | |
Dec 4 |