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New – AWS Deep Learning ContainersCategory: AWS, Amazon
We want to make it as easy as possible for you to learn about deep learning and to put it to use in your applications.
New Deep Learning ContainersToday I would like to tell you about the new AWS Deep Learning Containers.
Multiple Deep Learning Containers are available, with names based on the following factors (not all combinations are available):Framework – TensorFlow or MXNet.
Using Deep Learning ContainersIn order to put an AWS Deep Learning Container to use, I create an Amazon ECS cluster with a p2.8xlarge instance:$ aws ec2 run-instances --image-id ami-0ebf2c738e66321e6 \ --count 1 --instance-type p2.8xlarge \ --key-name keys-jbarr-us-east ...
This is a very, very simple example but it shows how you can use a pre-trained model to perform inferencing in ECS via the new Deep Learning Containers.
New Deep Learning ContainersToday I would like to tell you about the new AWS Deep Learning Containers.
Multiple Deep Learning Containers are available, with names based on the following factors (not all combinations are available):Framework – TensorFlow or MXNet.
Using Deep Learning ContainersIn order to put an AWS Deep Learning Container to use, I create an Amazon ECS cluster with a p2.8xlarge instance:$ aws ec2 run-instances --image-id ami-0ebf2c738e66321e6 \ --count 1 --instance-type p2.8xlarge \ --key-name keys-jbarr-us-east ...
This is a very, very simple example but it shows how you can use a pre-trained model to perform inferencing in ECS via the new Deep Learning Containers.
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