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|Nov 13 || || || |||| | |Nov 13 ||Xinran Liu || ||ImageNet Classification with Deep Convolutional Neural Networks ||[http://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf Paper]||[[ImageNet Classification with Deep Convolutional Neural Networks|Summary]] | ||
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Revision as of 14:34, 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 | Xinran Liu | ImageNet Classification with Deep Convolutional Neural Networks | Paper | Summary | |
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 | Paper | ||
Dec 4 | Chris Choi | On the difficulty of training recurrent neural networks | Paper | Summary | |
Dec 4 |