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Hi Ian,
Thanks for your previous reply. I am trying to run my own dataset on your c-mlp and c-lstm architectures. I wanted to know if you have any general guidelines in preprocessing the data. Furthe…
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**Background:**
I've been doing a research project which requires conducting some experiments to compare runtime baselines for data parallel and task parallel hyperparameter tuning techniques for N…
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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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On a 16-core machine with 1x1080TI GPU, running the following
```
python -m baselines.run --alg=ppo2 --env=PongNoFrameskip-v4 --num_timesteps=1e6 --network=cnn --num_env=16
```
I observe around 12…
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HI,
I am using this code to identify unknown faces that are not trained, so Can you please let me know, where to add "Unknown" label, so that I can take screen shot of those unknown persons to trai…
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What we can learn from #1113, IMHO, is that a good net still buys us a lot of strength even with the same data. However, a good net is expensive in terms of compute power, and hence I was thinking if…
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Hey hi @lmcinnes
First of all, thx for this method. It working so well !
So I have a general question about using UMAP as a dimensionality reduction step in a prediction pipeline. We have a clas…
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I have plans to buy 2 titans. Will it be possible to use 24 GB for one image at once? What will give nvlink technology for this project?
Grume updated
7 years ago
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I'm running this code on g2.2 amazon ec2 instances and getting cuda out-of-memory errors for the default image size of 512. Is this code very memory-hungry or is this likely some problem with my setup…