Deploying Generated Code on AWS GPUs for Deep Learning
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.
Get started with deep learning: https://bit.ly/2KLuNzt
GPU Coder example for image classification: https://bit.ly/2WEauev
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.
Get started with deep learning: https://bit.ly/2KLuNzt
GPU Coder example for image classification: https://bit.ly/2WEauev
.jpg)
Posts
No comments