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efficientnetv25_rw_s

Image Classification

efficientnetv25

Inference Endpoints

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FredZhang7 commited on Sep 24, 2023

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6bab5de

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1 Parent(s): 642ba04

update classification layer info

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README.md +1 -1

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@@ -15,7 +15,7 @@ I built EfficientNetV2.5 s to outperform the existing EfficientNet b0 to b4, Eff
   - Params: 16.64 M
   - Multiply-Add Operations: 5.32 G
   - Image size: train = 299x299 / 304x304, test = 304x304
-  - Classification layer: included, and defaults to 1,000 classes
 - **Papers:**
   - EfficientNetV2: Smaller Models and Faster Training: https://arxiv.org/abs/2104.00298
   - Layer-adaptive sparsity for the Magnitude-based Pruning: https://arxiv.org/abs/2010.07611

   - Params: 16.64 M
   - Multiply-Add Operations: 5.32 G
   - Image size: train = 299x299 / 304x304, test = 304x304
+  - Classification layer: defaults to 1,000 classes, but is empty
 - **Papers:**
   - EfficientNetV2: Smaller Models and Faster Training: https://arxiv.org/abs/2104.00298
   - Layer-adaptive sparsity for the Magnitude-based Pruning: https://arxiv.org/abs/2010.07611