CO542 Neural Networks Reading Group (E16)

Department of Computer Engineering, Faculty of Engineering, University of Peradeniya
This reading group is organized parallel to the CO542 Neural Networks and Fuzzy Systems undergraduate course.

Contents

  1. Schedule
  2. Papers
  3. Questions for Groups
  4. Group Members
  5. Instructions
  6. Template for Booklet Submission
  7. Marks
  8. Feedback

Schedule

The discussion group takes place every Friday 3:00 p.m. (IST) onwards, except on Wednesday, September 29, 2021 (1:00 p.m. (IST) onwards).

WeekDatePaper(s)
Week 1 (Session 1) September 24, 2021 1
Week 2 (Session 2) September 29, 2021 3
Week 2 (Session 3) October 1, 2021 2, 6
Week 3 (Session 4) October 8, 2021 7
Week 4 (Session 5) October 15, 2021 4, 5

Go up

Papers

eng.pdn.ac.lk email users can download the papers from here.

Paper Number Category Paper Discussion Group(s) Submissions
Slides YouTube Booklet
1 Math: activations He, K., Zhang, X., Ren, S. and Sun, J., 2015. Delving deep into rectifiers: Surpassing human-level performance on imagenet classification. In Proceedings of the IEEE international conference on computer vision (pp. 1026-1034). Session 1 1 View(pt1) Watch Read
5 View(pt2) Watch Read
3 NN: DNN Srivastava, R.K., Greff, K. and Schmidhuber, J., 2015. Training very deep networks. Advances in neural information processing systems, 28, pp.2377-2385. Session 2 2 View(pt2) Watch Read
8 View Watch Read
2 Math: Optimizers Kingma, D.P. and Ba, J.,. Adam: A method for stochastic optimization. 3rd International Conference on Learning Representations, (ICLR) 2015, San Diego, CA, USA, May 7-9, 2015, Conference Track Proceedings Session 3 9 View Watch Read
13 View Watch Read
6 App: image detection Krizhevsky, A., Sutskever, I. and Hinton, G.E., 2017. Imagenet classification with deep convolutional neural networks. Communications of the ACM, 60(6), pp.84-90. Session 3 3 View(pt2) Watch Read
12 View(pt1) Watch Read
7 App: VQA Antol, S., Agrawal, A., Lu, J., Mitchell, M., Batra, D., Lawrence Zitnick, C. and Parikh, D., 2015. Vqa: Visual question answering. In Proceedings of the IEEE international conference on computer vision (pp. 2425-2433). Session 4 4 View Watch Read
4 NN: CNN LeCun, Y., Bottou, L., Bengio, Y. and Haffner, P., 1998. Gradient-based learning applied to document recognition. Proceedings of the IEEE, 86(11), pp.2278-2324. Session 5 7 View Watch Read
11 View Watch Read
5 NN: GAN Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A. and Bengio, Y., 2014. Generative adversarial nets. Advances in neural information processing systems, 27, pp.2672-2680. Session 5 6 View Watch Read
10 View Watch Read

Go up

Questions for Groups

Go up

Group Members

Group NumberMemeber 1Memeber 2Memeber 3Memeber 4Paper Number
1 E/16/049 E/16/087 E/16/276 E/16/388 1
2 E/16/022 E/16/025 E/16/222 E/16/232 3
3 E/16/054 E/16/351 E/16/389 E/16/394 6
4 E/16/319 E/16/320 E/16/061 E/16/261 7
5 E/16/012 E/16/200 E/16/081 E/16/083 1
6 E/16/096 E/16/267 E/16/290 E/16/126 5
7 E/16/076 E/16/221 E/16/368 E/16/217 4
8 E/16/377 E/16/313 E/16/360 E/16/089 3
9 E/16/078 E/16/168 E/16/275 E/16/369 2
10 E/16/127 E/16/396 E/16/039 E/16/364 5
11 E/16/242 E/16/286 E/16/399 4
12 E/16/086 E/16/156 E/16/223 6
13 E/16/055 E/16/115 E/16/172 2

Go up

Instructions

Go up

Template for Booklet Submission

Go up

Marks

Go up

Feedback

Go up