AWS Summit - London | twitch.tv/aws | Machine Learning for Game Development with AWS
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Опубликовано 17 мая 2018, 18:43
Catch up with the action from the 2018 AWS Summit in London with the AWS Launchpad, which featured technical discussions, demos and live Q&A on twitch.tv/aws. Each session covered topics such as serverless computing, machine learning, augmented reality and virtual reality, containers, databases, analytics, IoT, and more. For past recordings and to see the upcoming schedule, visit amzn.to/2IqlelC.
In this session, we discuss a number of ways that game developers can use Machine Learning to accelerate game production such as pipeline asset management, and inappropriate content detection. We also discuss how to use deep learning tools such as Amazon Rekognition and Amazon SageMaker to automate process intensive parts of workflows demonstrating how Machine Learning is not as complex as many people think.
In this session, we discuss a number of ways that game developers can use Machine Learning to accelerate game production such as pipeline asset management, and inappropriate content detection. We also discuss how to use deep learning tools such as Amazon Rekognition and Amazon SageMaker to automate process intensive parts of workflows demonstrating how Machine Learning is not as complex as many people think.
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