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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How to train in the cloud with generated Cuda code?

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