When: August 20 | 9:00 AM - 10:00 AM PT (12:00 PM - 1:00 PM ET)
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
WHO SHOULD ATTEND: 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
culture
business
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21/09/2018 Last update