Kris Skrinak

By using PyTorch in Amazon SageMaker, you have a flexible deep learning framework combined with a fully managed machine learning solution that allows you to transition seamlessly from research prototyping to production deployment. In this session, hear from the PyTorch team on the latest features and library releases.

With support for PyTorch in Amazon SageMaker, you have a flexible deep learning framework combined with a fully managed machine learning solution to transition seamlessly from research prototyping to production deployment. In this session, hear from the PyTorch team on the latest features and library releases.

PyTorch is a deep-learning framework that is becoming popular, especially for rapid prototyping of new models. You can get started easily with PyTorch using Amazon SageMaker, a fully managed service, to build, train, and deploy machine learning models at scale.

With support for PyTorch in Amazon SageMaker, you have a flexible deep learning framework combined with a fully managed machine learning solution to transition seamlessly from research prototyping to production deployment. In this session, hear from the PyTorch team on the latest features and library releases.

Although this Global Partner Summit chalk talk is open to anyone, it is geared toward current and potential AWS Partner Network Partners.One of the main challenges developers face is the complexity of deep learning frameworks and how to translate the frameworks into state-of-the-art productive deep learning models for tasks like image classification, natural language processing, or even...