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Title: GitHub - zhanghang1989/DeepLearningExamples: Deep Learning Examples · GitHub

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Description: Deep Learning Examples. Contribute to zhanghang1989/DeepLearningExamples development by creating an account on GitHub.

Open Graph Description: Deep Learning Examples. Contribute to zhanghang1989/DeepLearningExamples development by creating an account on GitHub.

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requirements.txt	https://github.com/zhanghang1989/DeepLearningExamples/blob/master/requirements.txt
setup.py	https://github.com/zhanghang1989/DeepLearningExamples/blob/master/setup.py
setup.py	https://github.com/zhanghang1989/DeepLearningExamples/blob/master/setup.py
README	https://github.com/zhanghang1989/DeepLearningExamples
Apache-2.0 license	https://github.com/zhanghang1989/DeepLearningExamples
	https://github.com/zhanghang1989/DeepLearningExamples#ssd300-v11-for-pytorch
	https://github.com/zhanghang1989/DeepLearningExamples#table-of-contents
Model overview	https://github.com/zhanghang1989/DeepLearningExamples#model-overview
Model architecture	https://github.com/zhanghang1989/DeepLearningExamples#model-architecture
Default configuration	https://github.com/zhanghang1989/DeepLearningExamples#default-configuration
Feature support matrix	https://github.com/zhanghang1989/DeepLearningExamples#feature-support-matrix
Features	https://github.com/zhanghang1989/DeepLearningExamples#features
Mixed precision training	https://github.com/zhanghang1989/DeepLearningExamples#mixed-precision-training
Enabling mixed precision	https://github.com/zhanghang1989/DeepLearningExamples#enabling-mixed-precision
Enabling TF32	https://github.com/zhanghang1989/DeepLearningExamples#enabling-tf32
Setup	https://github.com/zhanghang1989/DeepLearningExamples#setup
Requirements	https://github.com/zhanghang1989/DeepLearningExamples#requirements
Quick Start Guide	https://github.com/zhanghang1989/DeepLearningExamples#quick-start-guide
Advanced	https://github.com/zhanghang1989/DeepLearningExamples#advanced
Scripts and sample code	https://github.com/zhanghang1989/DeepLearningExamples#scripts-and-sample-code
Parameters	https://github.com/zhanghang1989/DeepLearningExamples#parameters
Command-line options	https://github.com/zhanghang1989/DeepLearningExamples#command-line-options
Getting the data	https://github.com/zhanghang1989/DeepLearningExamples#getting-the-data
Dataset guidelines	https://github.com/zhanghang1989/DeepLearningExamples#dataset-guidelines
Data preprocessing	https://github.com/zhanghang1989/DeepLearningExamples#data-preprocessing
Data augmentation	https://github.com/zhanghang1989/DeepLearningExamples#data-augmentation
Training process	https://github.com/zhanghang1989/DeepLearningExamples#training-process
Evaluation process	https://github.com/zhanghang1989/DeepLearningExamples#evaluation-process
Inference process	https://github.com/zhanghang1989/DeepLearningExamples#inference-process
Performance	https://github.com/zhanghang1989/DeepLearningExamples#performance
Benchmarking	https://github.com/zhanghang1989/DeepLearningExamples#benchmarking
Training performance benchmark	https://github.com/zhanghang1989/DeepLearningExamples#training-performance-benchmark
Inference performance benchmark	https://github.com/zhanghang1989/DeepLearningExamples#inference-performance-benchmark
Results	https://github.com/zhanghang1989/DeepLearningExamples#results
Training accuracy results	https://github.com/zhanghang1989/DeepLearningExamples#training-accuracy-results
Training accuracy: NVIDIA DGX A100 (8x A100 40GB)	https://github.com/zhanghang1989/DeepLearningExamples#training-accuracy-nvidia-dgx-a100-8x-a100-40gb
Training accuracy: NVIDIA DGX-1 (8x V100 16GB)	https://github.com/zhanghang1989/DeepLearningExamples#training-accuracy-nvidia-dgx-1-8x-v100-16gb
Training loss plot	https://github.com/zhanghang1989/DeepLearningExamples#training-loss-plot
Training stability test	https://github.com/zhanghang1989/DeepLearningExamples#training-stability-test
Training performance results	https://github.com/zhanghang1989/DeepLearningExamples#training-performance-results
Training performance: NVIDIA DGX A100 (8x A100 40GB)	https://github.com/zhanghang1989/DeepLearningExamples#training-performance-nvidia-dgx-a100-8x-a100-40gb
Training performance: NVIDIA DGX-1 (8x V100 16G)	https://github.com/zhanghang1989/DeepLearningExamples#training-performance-nvidia-dgx-1-8x-v100-16gb
Inference performance results	https://github.com/zhanghang1989/DeepLearningExamples#inference-performance-results
Inference performance: NVIDIA DGX A100 (1x A100 40GB)	https://github.com/zhanghang1989/DeepLearningExamples#inference-performance-nvidia-dgx-a100-1x-a100-40gb
Inference performance: NVIDIA DGX-1 (1x V100 16GB)	https://github.com/zhanghang1989/DeepLearningExamples#inference-performance-nvidia-dgx-1-1x-v100-16gb
Release notes	https://github.com/zhanghang1989/DeepLearningExamples#release-notes
Changelog	https://github.com/zhanghang1989/DeepLearningExamples#changelog
Known issues	https://github.com/zhanghang1989/DeepLearningExamples#known-issues
	https://github.com/zhanghang1989/DeepLearningExamples#model-overview
SSD: Single Shot MultiBox Detector	https://arxiv.org/abs/1512.02325
Speed/accuracy trade-offs for modern convolutional object detectors	https://arxiv.org/abs/1611.10012
Highly Scalable Deep Learning Training System with Mixed-Precision: Training ImageNet in Four Minutes	https://arxiv.org/abs/1807.11205
NVIDIA DALI	https://github.com/NVIDIA/DALI
	https://github.com/zhanghang1989/DeepLearningExamples#model-architecture
	https://github.com/zhanghang1989/DeepLearningExamples/blob/master/img/ssd_diagram.png
Single Shot MultiBox Detector paper	https://arxiv.org/abs/1512.02325
	https://github.com/zhanghang1989/DeepLearningExamples#default-configuration
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour	https://arxiv.org/abs/1706.02677
	https://github.com/zhanghang1989/DeepLearningExamples#feature-support-matrix
APEX AMP	https://github.com/NVIDIA/apex
APEX DDP	https://pytorch.org/tutorials/intermediate/ddp_tutorial.html
NVIDIA DALI	https://docs.nvidia.com/deeplearning/sdk/dali-release-notes/index.html
	https://github.com/zhanghang1989/DeepLearningExamples#features
APEX	https://github.com/NVIDIA/apex
AMP	https://nvidia.github.io/apex/amp.html
DDP	https://nvidia.github.io/apex/parallel.html
NVIDIA DALI	https://docs.nvidia.com/deeplearning/sdk/dali-release-notes/index.html
DALI documentation	https://docs.nvidia.com/deeplearning/sdk/dali-developer-guide/docs/index.html
	https://github.com/zhanghang1989/DeepLearningExamples#mixed-precision-training
Mixed precision	https://arxiv.org/abs/1710.03740
Tensor Cores	https://developer.nvidia.com/tensor-cores
CUDA 8	https://devblogs.nvidia.com/parallelforall/tag/fp16/
Mixed Precision Training	https://arxiv.org/abs/1710.03740
Training With Mixed Precision	https://docs.nvidia.com/deeplearning/sdk/mixed-precision-training/index.html
Mixed-Precision Training of Deep Neural Networks	https://devblogs.nvidia.com/mixed-precision-training-deep-neural-networks/
NVIDIA Apex: Tools for Easy Mixed-Precision Training in PyTorch	https://devblogs.nvidia.com/apex-pytorch-easy-mixed-precision-training/
	https://github.com/zhanghang1989/DeepLearningExamples#enabling-mixed-precision
APEX	https://github.com/NVIDIA/apex
loss scaling	https://docs.nvidia.com/deeplearning/sdk/mixed-precision-training/index.html#lossscaling
dynamic	https://nvidia.github.io/apex/fp16_utils.html#apex.fp16_utils.DynamicLossScaler
here	https://github.com/NVIDIA/apex/tree/master/apex/amp#usage-and-getting-started
APEX	https://github.com/NVIDIA/apex
	https://github.com/zhanghang1989/DeepLearningExamples#enabling-tf32
	https://github.com/zhanghang1989/DeepLearningExamples#glossary
C4W3L01 course	https://www.youtube.com/watch?v=GSwYGkTfOKk
paper authored by Liu at al.	https://arxiv.org/abs/1512.02325
paper authored by He et al.	https://arxiv.org/abs/1512.03385
	https://github.com/zhanghang1989/DeepLearningExamples#setup
	https://github.com/zhanghang1989/DeepLearningExamples#requirements
NVIDIA Docker	https://github.com/NVIDIA/nvidia-docker
PyTorch 20.06-py3+ NGC container	https://ngc.nvidia.com/registry/nvidia-pytorch
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 PyTorch	https://docs.nvidia.com/deeplearning/dgx/pytorch-release-notes/running.html#running
PyTorch 20.06-py3 NGC container	https://ngc.nvidia.com/registry/nvidia-pytorch
NVIDIA Container Support Matrix	https://docs.nvidia.com/deeplearning/frameworks/support-matrix/index.html
	https://github.com/zhanghang1989/DeepLearningExamples#quick-start-guide
COCO 2017	http://cocodataset.org/#download
Advanced	https://github.com/zhanghang1989/DeepLearningExamples#advanced
	https://github.com/zhanghang1989/DeepLearningExamples#advanced
	https://github.com/zhanghang1989/DeepLearningExamples#scripts-and-sample-code
	https://github.com/zhanghang1989/DeepLearningExamples#parameters
	https://github.com/zhanghang1989/DeepLearningExamples#the-script-mainpy
	https://github.com/zhanghang1989/DeepLearningExamples#common-parameters
	https://github.com/zhanghang1989/DeepLearningExamples#training-related
	https://github.com/zhanghang1989/DeepLearningExamples#evaluation-related
	https://github.com/zhanghang1989/DeepLearningExamples#utility-parameters
	https://github.com/zhanghang1989/DeepLearningExamples#command-line-options
	https://github.com/zhanghang1989/DeepLearningExamples#getting-the-data
val2017	http://cocodataset.org/#download
	https://github.com/zhanghang1989/DeepLearningExamples#dataset-guidelines
the COCO documentation	http://cocodataset.org/#format-data
	https://github.com/zhanghang1989/DeepLearningExamples#data-preprocessing
	https://github.com/zhanghang1989/DeepLearningExamples#data-augmentation
SSD: Single Shot MultiBox Detector	https://arxiv.org/abs/1512.02325
	https://github.com/zhanghang1989/DeepLearningExamples#training-process
	https://github.com/zhanghang1989/DeepLearningExamples#evaluation-process
	https://github.com/zhanghang1989/DeepLearningExamples#inference-process
Quick Start Guide	https://github.com/zhanghang1989/DeepLearningExamples#quick-start-guide
http://127.0.0.1:8888/notebooks/examples/inference.ipynb?token=04c78049c67f45a4d759c8f6ddd0b2c28ac4eab60d81be4e	http://127.0.0.1:8888/notebooks/examples/inference.ipynb?token=04c78049c67f45a4d759c8f6ddd0b2c28ac4eab60d81be4e
	https://github.com/zhanghang1989/DeepLearningExamples#performance
	https://github.com/zhanghang1989/DeepLearningExamples#benchmarking
	https://github.com/zhanghang1989/DeepLearningExamples#training-performance-benchmark
	https://github.com/zhanghang1989/DeepLearningExamples#inference-performance-benchmark
	https://github.com/zhanghang1989/DeepLearningExamples#results
	https://github.com/zhanghang1989/DeepLearningExamples#training-accuracy-results
	https://github.com/zhanghang1989/DeepLearningExamples#training-accuracy-nvidia-dgx-a100-8x-a100-40gb
	https://github.com/zhanghang1989/DeepLearningExamples#training-accuracy-nvidia-dgx-1-8x-v100-16gb
	https://github.com/zhanghang1989/DeepLearningExamples#training-loss-plot
	https://github.com/zhanghang1989/DeepLearningExamples/blob/master/img/training_loss.png
	https://github.com/zhanghang1989/DeepLearningExamples#training-stability-test
	https://github.com/zhanghang1989/DeepLearningExamples#training-performance-results
	https://github.com/zhanghang1989/DeepLearningExamples#training-performance-nvidia-dgx-a100-8x-a100-40gb
Quick Start Guide	https://github.com/zhanghang1989/DeepLearningExamples#quick-start-guide
	https://github.com/zhanghang1989/DeepLearningExamples#training-performance-nvidia-dgx-1-8x-v100-16gb
Quick Start Guide	https://github.com/zhanghang1989/DeepLearningExamples#quick-start-guide
	https://github.com/zhanghang1989/DeepLearningExamples#inference-performance-results
	https://github.com/zhanghang1989/DeepLearningExamples#inference-performance-nvidia-dgx-a100-1x-a100-40gb
Quick Start Guide	https://github.com/zhanghang1989/DeepLearningExamples#quick-start-guide
	https://github.com/zhanghang1989/DeepLearningExamples#inference-performance-nvidia-dgx-1-1x-v100-16gb
Quick Start Guide	https://github.com/zhanghang1989/DeepLearningExamples#quick-start-guide
	https://github.com/zhanghang1989/DeepLearningExamples#release-notes
	https://github.com/zhanghang1989/DeepLearningExamples#changelog
	https://github.com/zhanghang1989/DeepLearningExamples#known-issues
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