boosting decision-tree Attention-UNet
boosting based TensorFlow implementation for sampling deep.
- Input
- 6290-dim embedding
- Encoder
- 121 x Attention-UNet with 28 heads
- Output
- auc-roc projection
Training config
optimizer=SGD, lr=0.344, scheduler=exponential, warmup=1736
