Knowledge sharing (Fall 2022)
We decide to have a first knowledge sharing sessions at the lab. Our first knowledge sharing sessions will begin in the Fall semester, 2022. The session is as follow:
| Date | Time | Topic | Speaker |
|---|---|---|---|
| 10/08/2022 | 16:00 - 17:30 | Basic DL for NLP, Huggingface | Name |
| 17/08/2022 | 16:00 - 17:30 | Fourier & Wavelet transforms | Earth, Tong |
| 31/08/2022 | 16:00 - 17:30 | Representation learning, Self-supervised learning | Earth, Tong |
| 14/09/2022 | 16:00 - 17:30 | Deep learning for Object detection: Pytorch, mmdetection | Tk |
| 28/09/2022 | 16:00 - 17:30 | Pytorch lightning | Ploy |
| 2/11/2022 | 16:00 - 17:30 | Deep learning for Object detection: ensemble techniques | Ong |
| 16/11/2022 | 16:00 - 17:30 | Triplet loss for recommendation | Master Windu |
| 30/11/2022 | 16:00 - 17:30 | Scheduler, Wandb | Yok |
For those who has little experience in deep learning, I encourage to go through the basic concepts of deep learning first. This includes programming in Pytorch, basic terminologies (batch size, epoch, model architecture, gradient descent, optimizers, learning rate, scheduler). You can always consult Neuromatch Academy Deep Learning course if you want to cover some basic concepts in deep learning with code.
Some topics are related to signal processing. Some of the concepts are well described in Steve Brunton and Nathan Kutz lectures. If you are interested in signal processing, feel free to watch more videos there.
I am looking forward to learn together with all the lab members in this coming semester.