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## 🚀 Feature
The ability to force layer's weights to be sparse with some input mask so that for example a 1d convolution that has a weight matrix with mXn weights would have a sparse matrix of size m…
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Hi ChihebTrabelsi,
I would like to do further work on the basis of your work, that is, want to embed the deep complex network into DCGAN (Deep Convolutional Generative Adversarial Networks), bu…
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La red debe estar implementada en
- [x] Tensorflow
- [ ] Pytorch
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### 🐛 Describe the bug
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hello? I am responsible for developing classification networks and segmentation networks and providing software with **Libtorch c++ on windows**
There was no problem unt…
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# Inverted Residuals and Linear Bottlenecks: Mobile Networks for Classification, Detection and Segmentation #
- Author: Mark Sandler, Andrew Howard, Menglong Zhu, Andrey Zhmoginov, Liang-Chieh Chen…
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Awesome but where is the code? FOMM is still the leader despite being 3yo!
Regards
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MXNet has design notes:
- https://mxnet.incubator.apache.org/architecture/index.html
Our 7-day technical blogs is expected to be more compact and essential.
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Hello.
I have been experimenting with this network on a new dataset, and I was curious if anyone knows of a simple way to visualize the filters of the network once it has been trained. I have seen …
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Thanks for your reimplementation!
1. In networks_stylegan.py, line 107 `f = f[:, :, ::-1, ::-1]`, I think you should consider use `f = torch.flip(f, [2, 3])`
2. In networks_stylegan.py, line 247, `x…