Broadcast Date: October 15, 2018
Artificial intelligence is powering unprecedented innovation across industries - from healthcare to automotive to finance. However, many organizations still struggle with the best approach to data and tools to build intelligent systems. In this session, you’ll learn how to build powerful AI applications on AWS using computer vision and language services, as well as Amazon SageMaker, a fully-managed platform for machine learning that allows you to quickly and easily build, train, and deploy machine learning models at any scale. Whether you’re just getting started with AI or you’re a deep learning expert, this session will provide a meaningful overview of how to improve scale and efficiency with the AWS Cloud.
- Learn about the breadth of AI services available on the AWS Cloud
- Gain insight into AWS API Services: Amazon Rekognition, Amazon Comprehend, Amazon Polly, Amazon Lex, Amazon Transcribe, Amazon Translate
- Learn about AWS machine learning platform Amazon SageMaker, and supported frameworks such as TensorFlow, Apache MXNet and PyTorch
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 deep learning
Shyam Srinivasan, Sr. Product Marketing Manager, AWS
To learn more about the services featured in this talk, please visit:
Service How To
December 19th, 2018 | 1:00 PM PT
Developing Deep Learning Models for Computer Vision with
Amazon EC2 P3 Instances.