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| 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 | Paper | ||
| Dec 4 | Chris Choi | On the difficulty of training recurrent neural networks | Paper | Summary | |
| Dec 4 |