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Hi, thanks for the tool you provided, very useful. But I also found a bug when I want to calculate each layer's **Mult-Adds**s of a nested model. I got something like this:
![Xnip2021-06-27_20-41-3…
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Most of keras is compatible with numpy / scipy.
It would be awesome ( and probably competitively fast at inference on cpu) if keras was available with a numpy/scipy backend.
This would help simp…
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Hi,
I had a couple questions about the methods:
1). The GNN training is for each subgraph extraction, yes? If so, how are the GNNs related to one another if the parameterization will be differ…
vymao updated
3 years ago
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As the 2010’s draw to a close, it’s worth taking a look back at the monumental progress that has been made in Deep Learning in this decade.
Tags: deep_learning
via Pocket https://ift.tt/…
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`snX`, aka Supernova Xception is an adaptation to the [Xception: Deep Learning with Depthwise Separable Convolutions](https://openaccess.thecvf.com/content_cvpr_2017/papers/Chollet_Xception_Deep_Learn…
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@kathsherratt, my understanding is that you started something like this?
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## 🚀 Feature
Video data in PyTorch comes in shape `N x C=3 x D x H x W` with D here being the time dimension. While certain augmentations have been implemented in 3D (e.g. RandomCrop), these seem to…
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torch.nn.Sequential is a very convenient wrapper for creating feed forward networks by stacking layers. By implementing the integration layer by layer and lifting non-temporal operations like convolut…
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could you share the visualization code with me?thanks.