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Mish is a novel activation function proposed in this [paper](https://arxiv.org/abs/1908.08681).
It has shown promising results so far and has been adopted in several packages including:
| | …
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Mish is a new novel activation function proposed in this [paper](https://arxiv.org/abs/1908.08681).
It has shown promising results so far and has been adopted in several packages including:
- [Ten…
-
I know nobody would want to run image models on a CPU, but I wanted to edit the architecture locally before deploying it on my cloud but it appears to fail:
`seresnet = timm.create_model(model_name…
-
Mish is a new novel activation function proposed in this [paper](https://arxiv.org/abs/1908.08681).
It has shown promising results so far and has been adopted in several packages including:
- [Ten…
-
Mish is a new novel activation function proposed in this [paper](https://arxiv.org/abs/1908.08681).
It has shown promising results so far and has been adopted in several packages including:
- [Ten…
-
Mish is a new novel activation function proposed in this [paper](https://arxiv.org/abs/1908.08681).
It has shown promising results so far and has been adopted in several packages including:
- [Ten…
-
Mish is a new novel activation function proposed in this [paper](https://arxiv.org/abs/1908.08681).
It has shown promising results so far and has been adopted in several packages including:
- [Ten…
-
Mish is a new novel activation function proposed in this [paper](https://arxiv.org/abs/1908.08681).
It has shown promising results so far and has been adopted in several packages including:
- [Ten…
-
Mish is a new novel activation function proposed in this [paper](https://arxiv.org/abs/1908.08681).
It has shown promising results so far and has been adopted in several packages including:
- [Ten…
-
Hi Ross
Thanks for the great work in putting together this repository with trained weights and training techniques!
I have a quick question about the reported accuracy for SEResNet(34) vs ResNet…