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# ___Keras NFNets___ | ||
*** | ||
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- **In progress** | ||
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## Summary | ||
- Keras implementation of [Github deepmind/nfnets](https://github.com/deepmind/deepmind-research/tree/master/nfnets). Paper [PDF 2102.06171 High-Performance Large-Scale Image Recognition Without Normalization](https://arxiv.org/pdf/2102.06171.pdf). | ||
- Model weights reloaded from official publication. | ||
*** | ||
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## Models | ||
| Model | Params | Image resolution | Top1 Acc | Download | | ||
| ----------- | ------ | ----------------- | -------- | -------- | | ||
| NFNetF0 | 71.5M | 256 | 83.6 | | | ||
| NFNetF1 | 132.6M | 320 | 84.7 | | | ||
| NFNetF2 | 193.8M | 352 | 85.1 | | | ||
| NFNetF3 | 254.9M | 416 | 85.7 | | | ||
| NFNetF4 | 316.1M | 512 | 85.9 | | | ||
| NFNetF5 | 377.2M | 544 | 86.0 | | | ||
| NFNetF6 SAM | 438.4M | 576 | 86.5 | | | ||
| NFNetF7 | 499.5M | | | | | ||
## Usage | ||
```py | ||
from keras_cv_attention_models import nfnets | ||
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mm = nfnets.NFNetF0() | ||
mm.summary() | ||
``` |
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from keras_cv_attention_models.nfnets.nfnets import NormFreeNet, NFNetF0, NFNetF1, NFNetF2, NFNetF3, NFNetF4, NFNetF5, NFNetF6, NFNetF7 |