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Deploying Generated Code on AWS GPUs for Deep Learning

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In this video, you’ll walk through a general workflow for deploying generated CUDA® code from a deep learning example in MATLAB® to the cloud.
MATLAB provides a complete integrated workflow for engineers and scientists to explore, prototype, and deploy deep learning algorithms in a familiar development environment with built-in higher-level apps and libraries.
Using GPU Coder™, you can generate CUDA code for the complete deep learning application which includes the pre-processing and post-processing logic around a trained network and deploy to any cloud platform like AWS®, Microsoft Azure®, etc.
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© 2019 The MathWorks, Inc. MATLAB and Simulink are registered
trademarks of The MathWorks, Inc.
MATLAB provides a complete integrated workflow for engineers and scientists to explore, prototype, and deploy deep learning algorithms in a familiar development environment with built-in higher-level apps and libraries.
Using GPU Coder™, you can generate CUDA code for the complete deep learning application which includes the pre-processing and post-processing logic around a trained network and deploy to any cloud platform like AWS®, Microsoft Azure®, etc.
--------------------------------------------------------------------------------------------------------
© 2019 The MathWorks, Inc. MATLAB and Simulink are registered
trademarks of The MathWorks, Inc.
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