- [Paper Review] On Calibration of Modern Neural Networks
- Scale-Invariant Feature Transform(SIFT)
- Web-crawling using Python
- Useful methods for CV competition
- [DL 101] RAdam - a novel variant of Adam
- [DL 101] Learning Rate Scheduler
- [DL 101] Maxpooling? Convolutions?
- [DL 101] Upsampling
- [DL 101] Autoencoder Tutorial (Pytorch)
- [DL 101] Transfer Learning vs. Fine Tuning vs. Training from scratch
- [DL 101] List comprehension
- [DL 101] Early Stopping, Weight Decay
- [DL 101] Object Recognition Terminology
- [DL 101] Global Average Pooling