220 - What is the best loss function for semantic segmentation?
![](https://i.ytimg.com/vi/XhxF2JV6PcI/mqdefault.jpg)
44:57
222 - Working with large data that doesn't fit your system memory - Semantic Segmentation
![](https://i.ytimg.com/vi/BNPW1mYbgS4/mqdefault.jpg)
19:03
207 - Using IoU (Jaccard) as loss function to train U-Net for semantic segmentation
![](https://i.ytimg.com/vi/44tlnmmt3h0/mqdefault.jpg)
12:57
Focal Loss for Dense Object Detection
![](https://i.ytimg.com/vi/KOF38xAvo8I/mqdefault.jpg)
14:56
225 - Attention U-net. What is attention and why is it needed for U-Net?
![](https://i.ytimg.com/vi/DPSXVJF5jIs/mqdefault.jpg)
5:21
Understanding Binary Cross-Entropy / Log Loss in 5 minutes: a visual explanation
![](https://i.ytimg.com/vi/bLb_Kp5Q9cw/mqdefault.jpg)
8:15
Categorical Cross - Entropy Loss Softmax
![](https://i.ytimg.com/vi/QBbC3Cjsnjg/mqdefault.jpg)
8:30
Loss Functions - EXPLAINED!
![](https://i.ytimg.com/vi/uzJXeluCKMs/mqdefault.jpg)
12:37