Difference between revisions of "More DeepLens Projects"

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* [[Getting Started & Project: Object Detection]]
 
* [[Getting Started & Project: Object Detection]]
 
* [http://aws.amazon.com/deeplens/ Product page...]
 
* [http://aws.amazon.com/deeplens/ Product page...]
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== Helpful Articles ==
 
* [http://medium.com/@julsimon/exploring-ahem-aws-deeplens-fcad551886ef Exploring (ahem) AWS DeepLens]
 
* [http://medium.com/@julsimon/exploring-ahem-aws-deeplens-fcad551886ef Exploring (ahem) AWS DeepLens]
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* [http://aws.amazon.com/blogs/machine-learning/customize-and-display-aws-deeplens-project-output-on-your-laptop/ Customize and Display AWS DeepLens Project Output on Your Laptop]
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* [http://www.slideshare.net/AmazonWebServices/aws-deeplens-workshop-building-computer-vision-applications AWS DeepLens Workshop: Building Computer Vision Applications]
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* [http://aws.amazon.com/blogs/machine-learning/deploy-gluon-models-to-aws-deeplens-using-a-simple-python-api/ Deploy Gluon models to AWS DeepLens using a simple Python API]
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== SageMaker to DeepLens ==
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* [http://github.com/aws-samples/aws-ml-vision-end2end aws-ml-vision-end2end -  Jupyter Notebook tutorials walking through deep learning Frameworks (MXNet, Gluon) to Platforms (SageMaker, DeepLens) for common CV use-cases | GitHub]
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<youtube>cTsCMTxEPHs</youtube>
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== DeepLens Projects ==
 
* [http://docs.aws.amazon.com/deeplens/latest/dg/deeplens-templated-projects-overview.html AWS DeeplLens Project Templates]
 
* [http://docs.aws.amazon.com/deeplens/latest/dg/deeplens-templated-projects-overview.html AWS DeeplLens Project Templates]
* [http://aws.amazon.com/deeplens/community-projects/ Collection of AWS DeepLens Community Projects]
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* [http://aws.amazon.com/deeplens/community-projects/ Collection of DeepLens Community Projects]
* [http://aws.amazon.com/blogs/machine-learning/customize-and-display-aws-deeplens-project-output-on-your-laptop/ Customize and Display AWS DeepLens Project Output on Your Laptop]
 
  
 
<youtube>usvcA2Ibajs</youtube>
 
<youtube>usvcA2Ibajs</youtube>
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<youtube>5VAKcQtoELo</youtube>
 
<youtube>5VAKcQtoELo</youtube>
 
<youtube>SZTo7CqOjvU</youtube>
 
<youtube>SZTo7CqOjvU</youtube>
 
 
* [http://github.com/aws-samples/aws-ml-vision-end2end aws-ml-vision-end2end -  Jupyter Notebook tutorials walking through deep learning Frameworks (MXNet, Gluon) to Platforms (SageMaker, DeepLens) for common CV use-cases | GitHub]
 
* [http://aws.amazon.com/blogs/machine-learning/deploy-gluon-models-to-aws-deeplens-using-a-simple-python-api/ Deploy Gluon models to AWS DeepLens using a simple Python API]
 

Revision as of 14:58, 25 June 2018