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Title: DeepLearningExamples/TensorFlow/Segmentation/VNet at master · mopshell/DeepLearningExamples · GitHub

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Description: Deep Learning Examples. Contribute to mopshell/DeepLearningExamples development by creating an account on GitHub.

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README.md	https://github.com/mopshell/DeepLearningExamples/blob/master/TensorFlow/Segmentation/VNet/README.md
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README.md	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#readme
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#v-net-medical-for-tensorflow
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#table-of-contents
Model overview	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#model-overview
Model architecture	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#model-architecture
Default configuration	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#default-configuration
Feature support matrix	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#feature-support-matrix
Features	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#features
Mixed precision training	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#mixed-precision-training
Enabling mixed precision	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#enabling-mixed-precision
Enabling TF32	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#enabling-tf32
Setup	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#setup
Requirements	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#requirements
Quick Start Guide	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#quick-start-guide
Advanced	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#advanced
Scripts and sample code	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#scripts-and-sample-code
Parameters	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#parameters
Command-line options	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#command-line-options
Getting the data	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#getting-the-data
Dataset guidelines	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#dataset-guidelines
Multi-dataset	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#multi-dataset
Training process	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#training-process
Inference process	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#inference-process
Performance	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#performance
Benchmarking	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#benchmarking
Training performance benchmark	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#training-performance-benchmark
Inference performance benchmark	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#inference-performance-benchmark
Results	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#results
Training accuracy results	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#training-accuracy-results
Training accuracy: NVIDIA DGX-1 (8x V100 16GB)	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#training-accuracy-nvidia-dgx-1-8x-v100-16gb
Training performance results	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#training-performance-results
Training performance: NVIDIA DGX-1 (8x V100 16GB)	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#training-performance-nvidia-dgx-1-8x-v100-16gb
Inference performance results	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#inference-performance-results
Inference performance: NVIDIA DGX-1 (1x V100 16GB)	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#inference-performance-nvidia-dgx-1-1x-v100-16gb
Release notes	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#release-notes
Changelog	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#changelog
Known issues	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#known-issues
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#model-overview
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation	https://arxiv.org/pdf/1606.04797
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#model-architecture
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation	https://arxiv.org/pdf/1606.04797
	https://github.com/mopshell/DeepLearningExamples/blob/master/TensorFlow/Segmentation/VNet/images/vnet.png
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#default-configuration
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#feature-support-matrix
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#features
TensorFlow tutorial	https://github.com/horovod/horovod/#usage
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#mixed-precision-training
Mixed precision	https://arxiv.org/abs/1710.03740
Tensor Cores	https://developer.nvidia.com/tensor-cores
mixed precision training	https://docs.nvidia.com/deeplearning/performance/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/performance/mixed-precision-training/index.html
Mixed-Precision Training of Deep Neural Networks	https://devblogs.nvidia.com/mixed-precision-training-deep-neural-networks/
Using TF-AMP	https://docs.nvidia.com/deeplearning/dgx/tensorflow-user-guide/index.html#tfamp
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#enabling-mixed-precision
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#enabling-tf32
NVIDIA A100	https://www.nvidia.com/en-us/data-center/a100/
TensorFloat-32 in the A100 GPU Accelerates AI Training, HPC up to 20x	https://blogs.nvidia.com/blog/2020/05/14/tensorfloat-32-precision-format/
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#setup
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#requirements
NVIDIA Docker	https://github.com/NVIDIA/nvidia-docker
NGC container	https://ngc.nvidia.com/registry/nvidia-tensorflow
NVIDIA Volta	https://www.nvidia.com/en-us/data-center/volta-gpu-architecture/
NVIDIA Turing	https://www.nvidia.com/en-us/geforce/turing/
NVIDIA Ampere architecture	https://www.nvidia.com/en-us/data-center/nvidia-ampere-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/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#quick-start-guide
medical segmentation decathlon website	http://medicaldecathlon.com/
medical segmentation decathlon	http://medicaldecathlon.com/
Medical segmentation decathlon Google Drive	https://drive.google.com/drive/folders/1HqEgzS8BV2c7xYNrZdEAnrHk7osJJ--2
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#advanced
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#scripts-and-sample-code
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#parameters
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#command-line-options
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#getting-the-data
medical segmentation decathlon	http://medicaldecathlon.com/
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#dataset-guidelines
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#training-process
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#optimizer
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#inference-process
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#performance
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#benchmarking
	https://github.com/mopshell/DeepLearningExamples/blob/master/TensorFlow/Segmentation/VNet/images/1gpu_p_vs_v.png
	https://github.com/mopshell/DeepLearningExamples/blob/master/TensorFlow/Segmentation/VNet/images/8gpu_p_vs_v.png
	https://github.com/mopshell/DeepLearningExamples/blob/master/TensorFlow/Segmentation/VNet/images/infer_p_vs_v.png
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#training-performance-benchmark
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#inference-performance-benchmark
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#results
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#training-accuracy-results
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#training-accuracy-nvidia-dgx-1-8x-v100-16gb
Quick Start Guide	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#quick-start-guide
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#training-performance-results
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#training-performance-nvidia-dgx-1-8x-v100-16gb
Quick start guide	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#quick-start-guide
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#inference-performance-results
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#inference-performance-nvidia-dgx-1-1x-v100-16gb
Quick Start Guide	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#quick-start-guide
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#release-notes
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet#changelog
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