-
In all my experiences using my own implementation, batch normalization help convergence. However, that's not the case for tflearn's batch normalization. Use the convnet_mnist.py (https://github.com/tf…
-
### Issue Summary:
Currently, ResNet is not working, with training runs exploding around the 4th epoch, and the test error remains above 45%, even after tuning the hyperparameters.
### Details:
I…
-
Kind of issue: Feature development
Issue described: We have a successful implementation of a Ternary replacement for Dense layers. The metrics are not quite what we want on some problems.
One po…
-
https://arxiv.org/abs/1607.06450
-
### Describe the bug
When `n_features > 1` and `normalization_y` is `False`, the `GaussianProcessRegressor.predict` seems to return bad std and cov results, as it doesn't consider the scale of the di…
-
### Search before asking
- [X] I have searched the Ultralytics YOLO [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussion…
-
### System Info
colab T4
### Who can help?
@
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
- [X] An officially supported task in the `examples` fold…
-
![圖片1](https://user-images.githubusercontent.com/69715105/201452911-98dc54ac-b4ac-4b8d-a4ff-03a73e359a7c.png)
By the computation operation of the normalization methods, the MUNIT architecture can b…
-
I have tried a two-tower model (user and query) in a real industrial scenario using contrastive learning. The samples are all actual click samples, and the loss function is InfoNCE. I have a few quest…
-
In the nn.transformer.py module, the Transformer*Layer objects always have a layer norm at the very end of their forward method. However, the main Transformer object passes additional layer norms to b…