Machine Learning Models with TensorFlow Using Amazon SageMaker


ON-DEMAND


Machine Learning Models with TensorFlow Using Amazon SageMaker



Broadcast Date:
August 20, 2018

Level 300 | Service Deep Dive
TensorFlow is one of the leading Machine Learning (ML) frameworks that has a broad support in the industry and has become a popular choice for deep learning research and application development. Getting started with TensorFlow based ML models is quick and easy on AWS, with a complete experience using Amazon SageMaker, a platform to build, train and deploy machine learning models at scale. In this session, you’ll learn how to build, train, and host ML models using TensorFlow, on Amazon SageMaker. Whether you are just getting your feet wet with ML or you have a deep understanding of ML, this session will provide a meaningful insight into the powerful combination of TensorFlow and Amazon SageMaker to accelerate your machine learning solutions to production.

Learning Objectives:
• Learn the intricacies of the powerful combination of TensorFlow and Amazon SageMaker
• Gain insights into how Amazon SageMaker enables the use of TensorFlow
• Learn how to train and host a TensorFlow based ML model in Amazon SageMaker with relevant examples

Suited For: Data Scientists, Machine Learning practitioners, Deep Learning practitioners, Data Science students, Managers/Executives interested in deploying deep learning environments, and anyone in a related field willing to learn more about TensorFlow and Amazon SageMaker

Speaker(s): Ahmad Khan, Solutions Architect, AWS


Learn More
To learn more about the services featured in this talk, please visit:
https://aws.amazon.com/sagemaker

Having trouble with this page? Please email us at aws-webcasts@amazon.com

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