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Renew model links
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liuzhuang13 authored Sep 10, 2022
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Expand Up @@ -147,10 +147,10 @@ More accurate models trained with the memory efficient implementation in the [te

| Network | Top-1 error | Torch Model |
| ------------- | ----------- | ------------ |
| DenseNet-264 (k=32) | 22.1 | [Download (256MB)](https://drive.google.com/file/d/0By1NwtA2JPGzdVRqOEotMUZrbTA/view?usp=sharing)
| DenseNet-232 (k=48) | 21.2 | [Download (426MB)](https://drive.google.com/open?id=0By1NwtA2JPGzdkRDaWQ5M3VHTDg)
| DenseNet-cosine-264 (k=32) | 21.6 | [Download (256MB)](https://drive.google.com/file/d/0By1NwtA2JPGzRDhxWGo2a3pOTjA/view?usp=sharing)
| DenseNet-cosine-264 (k=48) | 20.4 | [Download (557MB)](https://drive.google.com/file/d/0By1NwtA2JPGzcnFDSE1HQVh4c0k/view?usp=sharing)
| DenseNet-264 (k=32) | 22.1 | [Download (256MB)](https://drive.google.com/file/d/0By1NwtA2JPGzdVRqOEotMUZrbTA/view?usp=sharing&resourcekey=0-5D_u52k6wCy6doaLwdBfqw)
| DenseNet-232 (k=48) | 21.2 | [Download (426MB)](https://drive.google.com/file/d/0By1NwtA2JPGzdkRDaWQ5M3VHTDg/view?usp=sharing&resourcekey=0-yl4XWJ2J6GZaF6RPj43QHQ)
| DenseNet-cosine-264 (k=32) | 21.6 | [Download (256MB)](https://drive.google.com/file/d/0By1NwtA2JPGzRDhxWGo2a3pOTjA/view?usp=sharing&resourcekey=0-AOIBvppNz9cdDcuKvH7_aQ)
| DenseNet-cosine-264 (k=48) | 20.4 | [Download (557MB)](https://drive.google.com/file/d/0By1NwtA2JPGzcnFDSE1HQVh4c0k/view?usp=sharing&resourcekey=0-uAyd9bsTas2twCzAZ1DUpA)


### Caffe
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