This page displays information about the Deep Learning Reading Group at the Mathematics Department at Imperial College London in 2023. The group will aim to learn the fundamentals of the topic (as opposed to recent advances). The main focus is the textbook ‘‘Deep Learning’’ by Goodfellow, Bengio and Courville (2016), but we also read some papers. Meetings are irregularly spaced, but occur on Tuesdays at 4pm in SHER-04-402. If you are an Imperial College London student or staff member and would like to attend, please feel free!

Date Presenter To Read Authors
23 May Hector McKimm Deep Learning (2016), Sections 6.1 - 6.3 Goodfellow, Bengio and Courville
30 May Hector McKimm Deep Learning (2016), Sections 6.4 - 6.5 Goodfellow, Bengio and Courville
6 June Alice Malivert Deep Learning (2016), Sections 7.1 - 7.7 Goodfellow, Bengio and Courville
20 June Francesco Vigano Deep Learning (2016), Sections 7.8 - 7.12 Goodfellow, Bengio and Courville
4 July Arne Wolf Deep Learning (2016), Sections 8.1 - 8.2 Goodfellow, Bengio and Courville
18 July Yuyang Huang Deep Learning (2016), Sections 8.3 - 8.5 Goodfellow, Bengio and Courville
5 September Daniel Salnikov Deep Learning (2016), Sections 9.1 - 9.3 Goodfellow, Bengio and Courville
19 September Toby Severs Deep Learning (2016), Sections 9.4 - 9.7 Goodfellow, Bengio and Courville
26 September Qinshu Lyu ImageNet Classification with Deep Convolutional Neural Networks (2012) Krizhevsky, Sutskever and Hinton
10 October Tobias Schroeder Auto-Encoding Variational Bayes (2014) Kingma and Welling