assembled-cnn
One-Piece-Image-Classifier
| assembled-cnn | One-Piece-Image-Classifier | |
|---|---|---|
| 1 | 1 | |
| 330 | 2 | |
| 0.6% | - | |
| 0.0 | 0.0 | |
| over 3 years ago | about 2 years ago | |
| Python | Jupyter Notebook | |
| Apache License 2.0 | GNU General Public License v3.0 only |
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assembled-cnn
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[R] ResNet strikes back: An improved training procedure in timm. There has been significant progress on best practices for training neural nets since ResNet's introduction in 2015. With such advances, a vanilla ResNet-50 reaches 80.4% top-1 accuracy on ImageNet without extra data or distillation.
As far as i know, the assemble-ResNet-50 (https://github.com/clovaai/assembled-cnn) gets 82.8% top-1, though they make some (minor) changes to ResNet-50 architecture.
One-Piece-Image-Classifier
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Finetuning with Tensorflow - Image Classification
You can learn more about the project repository on the link below : https://github.com/Justsecret123/One-Piece-Image-Classifier
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