Customize the Cloud-to-Edge Journey to Fit Your Needs | AWS Cloud-to-Edge Part 3 | Intel Software

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Now that you have set up and deployed models using the AWS Cloud-to-Edge pipeline, it is time to customize your journey. In this video, you will learn how to convert TensorFlow & Keras models to OpenVINO IR using the OpenVINO™ Toolkit Model Optimizer in AWS SageMaker with just 1 line of code. After optimizing your model, you will learn how to benchmark your models on a multitude of different Intel® hardware in Intel® DevCloud. Afterward, you will learn how to insert your newly optimized model into the cloud-to-edge pipeline.

Learn more about the cloud-to-edge tools: https://intel.ly/3yiBgam

Stay connected and learn more about the latest news and updates for Intel AI at the Edge. https://intel.ly/3kluiMP

Visit the Intel Edge Software hub for more use-case specific reference solutions and software offerings: https://intel.ly/38bnMCQ

Download the AWS Pipeline Reference Implementation. https://intel.ly/38cgWgq

For more training about Intel Edge Software Hub, please visit the training website. https://intel.ly/3sIKJ9O

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Customize the Cloud-to-Edge Journey to Fit Your Needs | AWS Cloud-to-Edge Part 3 | Intel Software



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