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Commit f11884b

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nv-kkudrynskinv-kkudrynski
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minor readme updates
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‎PyTorch/SpeechSynthesis/FastPitch/README.md‎

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@@ -713,7 +713,7 @@ The used WaveGlow model is a 256-channel model [published on NGC](https://ngc.nv
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Our results were obtained by running the `./scripts/inference_benchmark.sh` script in
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the PyTorch 20.03-py3 NGC container. Note that to reproduce the results,
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you need to provide pre-trained checkpoins for FastPitch and WaveGlow. Edit the script to provide your checkpoint filenames.
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you need to provide pre-trained checkpoints for FastPitch and WaveGlow. Edit the script to provide your checkpoint filenames.
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Note that performance numbers are related to the length of input. The numbers reported below were taken with a moderate length of 128 characters. For longer utterances even better numbers are expected, as the generator is fully parallel.
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‎TensorFlow/Classification/ConvNets/README.md‎

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## Release notes
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### Changelog
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April 2020
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- Initial release
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June 2020
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- ConvNets repo restructurization
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- Initial release of ResNext and SE-Resnext
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‎TensorFlow/Classification/ConvNets/resnet50v1.5/README.md‎

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5. March, 2020
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* Code cleanup and refactor
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* Improved training process
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6. June, 2020
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* Added ResNext and SE-ResNext architectures
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### Known issues
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There are no known issues with this model.
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‎TensorFlow/Classification/ConvNets/resnext101-32x4d/README.md‎

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### Changelog
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April 2020
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June 2020
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- Initial release
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### Known issues
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‎TensorFlow/Classification/ConvNets/se-resnext101-32x4d/README.md‎

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### Changelog
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April 2020
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June 2020
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- Initial release
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### Known issues

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