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@gabikadlecova gabikadlecova released this 05 Dec 11:02
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v1.3
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Learn about vigilant mode.

The code was modified so that it is easier to reproduce the original results - before, only the code structure was the same, but the hyperparameters were different and the optimizer was SGD - there were difficulties with making RMSProp training work.

Now the networks can be successfully trained with RMSProp and with the same hyperparameters as in the paper.

  • Added reproducibility section to the readme
  • Hyperparameters were modified so that they match those from the NAS-Bench-101 paper
  • TensorFlow version of RMSProp is supported
  • Gradient clipping can be turned off

Special thanks to @longerhost for helping to reproduce the original training!

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