Opensource ML Frameworks on Amazon SageMaker (Level 300)
743
15.5
Amazon Web Services791 тыс
Следующее
04.04.19 – 55540:18Популярные
Опубликовано 4 апреля 2019, 17:51
Learn more about AWS Innovate Online Conference at – amzn.to/2uLVUkQ
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.
Speaker: Aparna Elangovan, Solutions Architect, AWS, ANZ
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.
Speaker: Aparna Elangovan, Solutions Architect, AWS, ANZ
7 дней – 1 0850:35
7 дней – 5 5141:19
Случайные видео
65 дней – 9 6990:20
75 дней – 28 35316:17
363 дня – 6 08652:33
11.01.24 – 7 0880:06
15.05.22 – 155 06517:21
14.03.21 – 92 5161:05
6 дней – 17 25612:10
6 дней – 10 5910:31
7 дней – 351 77111:04
8 дней – 5 5220:08
9 дней – 75 69011:19
4 часа – 024:41