Amazon SageMaker Neo is a new machine learning capability that enables developers to deploy machine learning models from multiple frameworks to multiple platforms in the cloud and at the edge.
Amazon SageMaker Neo is a new machine learning capability that enables developers to deploy machine learning models from multiple frameworks to multiple platforms in the cloud and at the edge. In this course we cover how Neo does this by converting a model from its framework-specific format into portable code that can run on multiple platforms. During conversion, Neo automatically optimizes machine learning models to one-hundredth of their original size with twice the performance and no loss in accuracy. Also covered are the benefits and key features of the service, along with some possible use cases for Neo.
Amazon SageMaker Neo is a new machine learning capability that enables developers to deploy machine learning models from multiple frameworks to multiple platforms in the cloud and at the edge. In this course we cover how Neo does this by converting a model from its framework-specific format into portable code that can run on multiple platforms. During conversion, Neo automatically optimizes machine learning models to one-hundredth of their original size with twice the performance and no loss in accuracy. Also covered are the benefits and key features of the service, along with some possible use cases for Neo.
