Open-source ML frameworks on Amazon SageMaker - AWS Innovate

November 12, 2019
Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly. Amazon SageMaker automatically configures and optimizes TensorFlow, Apache MXNet, Chainer, PyTorch, Scikit-learn, and SparkML so you do not have to do any setup to start using these frameworks. In this session, we look at how to use these frameworks with Amazon SageMaker and enable seamless movement of workloads between Amazon SageMaker and your infrastructure.
Previous Video
Video Analytics At The Edge - AWS Innovate
Video Analytics At The Edge - AWS Innovate

Speaker: Krishnan Ganapathy, Senior Solutions Architect, AISPL In this session we will first dive into u...

Next Video
Using non-relational databases - AWS Innovate
Using non-relational databases - AWS Innovate

AWS has managed database services to cover graph, document, time series, and key-value use cases, but how d...