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Hi,
I wanted to use your package to do some basic neural network stuff in C++.
Since I wrapped the weights of the network in matrices using the Eigen library, I guess I somehow messed with the com…
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:red_circle: **Title** : Weather Image Recognition Model
:red_circle: **Aim** : Brief approach for this project from a basic level upto highest possible accuracy.
:red_circle: **Brief Explanation** …
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Due to an [issue](https://github.com/rwth-i6/returnn/issues/1450) that I have with a training that uses `FastBaumWelchLoss` that might be related to tensorflow, I wanted to try running the same setup …
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I think your code does not solve the problem of signal modulation classification under low signal-to-noise ratio。
The reason why your code can achieve such high accuracy under low signal-to-noise rat…
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## 💥 Proposal
I would want to:
- Improve the accuracy of models.
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I tried a lot of modifications to first play urgency after learning that AlphagoZero probably the equivalent of 0.5, reading #238 and the relevant part of the AlphagoZero paper. A lot of my modificati…
remdu updated
6 years ago
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Dear kymatio team,
I am trying to train a Keras Neural Network based on the Scattering1D layer. Due to the huge quantity of data, I have implemented a keras.utils.Sequence generator for accessing t…
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pytorch 1.0
```
python3 main.py --inference --model FlowNet2 --save_flow --inference_dataset ImagesFromFolder --inference_dataset_root ~/fs24_512/ --resume mycheckpoints/FlowNet2_checkpoint.pth.ta…
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I am using the **DenseFlipOut** layer, I see that it has a mean_normal distribution over the weights and the biases by default, but I was wondering how these distributions are modified during training…
pks42 updated
10 months ago