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DeepLearningExamples	https://github.com/lineCode/DeepLearningExamples/tree/master
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multilingual.md	https://github.com/lineCode/DeepLearningExamples/blob/master/TensorFlow/LanguageModeling/BERT/multilingual.md
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predicting_movie_reviews_with_bert_on_tf_hub.ipynb	https://github.com/lineCode/DeepLearningExamples/blob/master/TensorFlow/LanguageModeling/BERT/predicting_movie_reviews_with_bert_on_tf_hub.ipynb
predicting_movie_reviews_with_bert_on_tf_hub.ipynb	https://github.com/lineCode/DeepLearningExamples/blob/master/TensorFlow/LanguageModeling/BERT/predicting_movie_reviews_with_bert_on_tf_hub.ipynb
requirements.txt	https://github.com/lineCode/DeepLearningExamples/blob/master/TensorFlow/LanguageModeling/BERT/requirements.txt
requirements.txt	https://github.com/lineCode/DeepLearningExamples/blob/master/TensorFlow/LanguageModeling/BERT/requirements.txt
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run_classifier.py	https://github.com/lineCode/DeepLearningExamples/blob/master/TensorFlow/LanguageModeling/BERT/run_classifier.py
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run_classifier_with_tfhub.py	https://github.com/lineCode/DeepLearningExamples/blob/master/TensorFlow/LanguageModeling/BERT/run_classifier_with_tfhub.py
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README.md	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#readme
	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#bert-for-tensorflow
	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#table-of-contents
The model	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#the-model
Default configuration	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#default-configuration
Setup	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#setup
Requirements	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#requirements
Quick start guide	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#quick-start-guide
Details	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#details
Command line options	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#command-line-options
Getting the data	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#getting-the-data
Training process	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#training-process
Pre-training	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#pre-training
Fine tuning	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#fine-tuning
Enabling mixed precision	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#enabling-mixed-precision
Inference process	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#inference-process
Benchmarking	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#benchmarking
Training performance benchmark	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#training-performance-benchmark
Inference performance benchmark	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#inference-performance-benchmark
Results	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#results
Training accuracy results	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#training-accuracy-results
Training stability test	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#training-stability-test
Training performance results	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#training-performance-results
NVIDIA DGX-1 (8x V100 16G)	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#nvidia-dgx-1-8x-v100-16g
NVIDIA DGX-1 (8x V100 32G)	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#nvidia-dgx-1-8x-v100-32g
NVIDIA DGX-2 (16x V100 32G)	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#nvidia-dgx-2-16x-v100-32g
Inference performance results	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#inference-performance-results
NVIDIA DGX-1 16G (1x V100 16G)	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#nvidia-dgx-1-16g-1x-v100-16g
NVIDIA DGX-1 32G (1x V100 32G)	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#nvidia-dgx-1-32g-1x-v100-32g
NVIDIA DGX-2 32G (1x V100 32G)	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#nvidia-dgx-2-32g-1x-v100-32g
Changelog	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#changelog
Known issues	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#known-issues
	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#the-model
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding	https://arxiv.org/abs/1810.04805
Google's official implementation	https://github.com/google-research/bert
Wikipedia	https://dumps.wikimedia.org/
BooksCorpus	http://yknzhu.wixsite.com/mbweb
SQuAD	https://rajpurkar.github.io/SQuAD-explorer/
XLA	https://www.tensorflow.org/xla
Hugging Face	https://github.com/huggingface/pytorch-pretrained-BERT
codertimo	https://github.com/codertimo/BERT-pytorch
gluon-nlp	https://github.com/dmlc/gluon-nlp/tree/master/scripts/bert
	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#default-configuration
	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#setup
	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#requirements
NVIDIA Docker	https://github.com/NVIDIA/nvidia-docker
TensorFlow 19.03-py3	https://ngc.nvidia.com/catalog/containers/nvidia:tensorflow
NVIDIA Volta based GPU	https://www.nvidia.com/en-us/data-center/volta-gpu-architecture/
Getting Started Using NVIDIA GPU Cloud	https://docs.nvidia.com/ngc/ngc-getting-started-guide/index.html
Accessing And Pulling From The NGC Container Registry	https://docs.nvidia.com/deeplearning/dgx/user-guide/index.html#accessing_registry
Running TensorFlow	https://docs.nvidia.com/deeplearning/dgx/tensorflow-release-notes/running.html#running
	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#quick-start-guide
	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#1-clone-the-repository
	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#2-build-the-bert-tensorflow-ngc-container
	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#3-download-and-preprocess-the-dataset
	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#4-start-an-interactive-session-in-the-ngc-container-to-run-traininginference
	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#5-start-pre-training
paper	https://arxiv.org/pdf/1810.04805.pdf
	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#6-start-fine-tuning
	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#7-start-validationevaluation
	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#details
	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#command-line-options
	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#getting-the-data
	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#training-process
	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#pre-training
	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#fine-tuning
	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#enabling-mixed-precision
Mixed precision	https://arxiv.org/abs/1710.03740
tensor cores	https://developer.nvidia.com/tensor-cores
mixed precision training	https://docs.nvidia.com/deeplearning/sdk/mixed-precision-training/index.html
mixed precision methodology	https://docs.nvidia.com/deeplearning/sdk/mixed-precision-training/index.html#tensorflow
Mixed Precision Training	https://arxiv.org/abs/1710.03740
Training With Mixed Precision	https://docs.nvidia.com/deeplearning/sdk/mixed-precision-training/index.html
Using TF-AMP	https://docs.nvidia.com/deeplearning/dgx/tensorflow-user-guide/index.html#tfamp
Mixed-Precision Training of Deep Neural Networks	https://devblogs.nvidia.com/mixed-precision-training-deep-neural-networks/
	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#inference-process
	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#benchmarking
	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#training-performance-benchmark
	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#inference-performance-benchmark
	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#results
	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#training-accuracy-results
	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#training-stability-test
	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#training-performance-results
	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#nvidia-dgx-1-8x-v100-16g
Quick Start Guide	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#quick-start-guide
	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#nvidia-dgx-1-8x-v100-32g
Quick Start Guide	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#quick-start-guide
	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#nvidia-dgx-2-16x-v100-32g
Quick Start Guide	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#quick-start-guide
	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#inference-performance-results
	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#nvidia-dgx-1-16g-1x-v100-16g
Quick Start Guide	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#quick-start-guide
	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#nvidia-dgx-1-32g-1x-v100-32g
Quick Start Guide	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#quick-start-guide
	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#nvidia-dgx-2-32g-1x-v100-32g
Quick Start Guide	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#quick-start-guide
	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#changelog
	https://github.com/lineCode/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#known-issues
	https://github.com
Terms	https://docs.github.com/site-policy/github-terms/github-terms-of-service
Privacy	https://docs.github.com/site-policy/privacy-policies/github-privacy-statement
Security	https://github.com/security
Status	https://www.githubstatus.com/
Community	https://github.community/
Docs	https://docs.github.com/
Contact	https://support.github.com?tags=dotcom-footer

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