Deep Java Library (DJL) is an open-source, high-level, engine-agnostic Java framework for deep learning. It provides a next-generation model serving solution that makes it easy to deploy deep learning models to production. DJL supports popular deep learning engines and frameworks such as PyTorch, TensorFlow, ONNX Runtime, and Apache MXNet. In this session, get an overview of DJL and dive deep on how DJL is designed and works in different use cases. Also learn how to tune DJL for performance and how to use DJL for serving large workloads in production.
Graph-based ML is a powerful tool that utilizes the connections between entities in the graph to provide mo...
Most Recent Videos
Listen in to learn how AWS customer, MOLO17, developed a rescue app powered by AWS partner, Couchbase, to assist the Coast Guard with emergency situations during a leading European sailing regatta.
The future is now. In this session, discover innovation opportunities through topics like machine learning, IoT, edge computing, and more.
In this demo, you’ll explore the AWS console at your own pace. On demand bonus topics include RDS console overview, S3, IAM, and VPC.
AWSome Day is a free three-hour cloud training delivered by Amazon Web Services (AWS) technical instructors. Kick off AWSome Day with the basics: security, computer, and database.
Watch this webinar to hear about customer success stories and discover how you can leverage AWS machine learning to automate document processing workflows, reduce costs, scale quickly, and more.
Watch this webinar to see how TSB Bank used AWS Contact Center Intelligence solutions to enhance the customer support experience, reduce call volume, increase agent productivity, and reduce costs.
Watch this webinar to see how you can deliver powerful natural language search capabilities to your internal and external applications, enabling your users to find information quickly and easily.
Watch this webinar to learn how you can use machine learning to build a powerful personalization solution in just a few clicks.