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Meeting Summary

AIM401-R1 - [REPEAT 1] Distributed training, tuning, and inference with TensorFlow in Amazon SageMaker

Session Description

The TensorFlow deep learning framework is widely used in academia and industry. Using Amazon SageMaker, organizations can quickly begin a fully managed TensorFlow experience. In this workshop, we train and deploy TensorFlow models using key Amazon SageMaker features for an efficient workflow. Specifically, we prototype training and inference code locally before moving to full-scale training and production deployment; compare and contrast Amazon SageMaker’s support for distributed training with parameter servers and Horovod; apply automatic model tuning to improve TensorFlow models; and make predictions in production using either real-time endpoints backed by TensorFlow Serving or highly performant batch transform jobs at scale.

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Additional Information
Artificial Intelligence & Machine Learning
400 - Expert
Please note that session information is subject to change.
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