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AWS Console aws console
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AWS Console aws console Features
View a summary of your Amazon Elastic Compute Cloud (EC2) instances, Amazon S3 buckets, Amazon Route 53 hosted zones, load balancers, RDS instances, Auto Scaling groups, AWS Elastic Beanstalk applications, AWS CloudFormation stacks, AWS OpsWorks stacks, Amazon CloudWatch alarms, total service charges, and AWS Service Health status.
Elastic Compute Cloud (EC2): Browse, filter, and search instances. View configuration details, CloudWatch metrics and alarms, and status checks. Perform instance lifecycle operations: start, stop, reboot, terminate. View block devices and create volume snapshots. Manage security group rules and Elastic IP Addresses.
Amazon Simple Storage Service (S3): Browse buckets, view bucket details, browse objects in a bucket, view object details, and view or download objects using your browser. Your device's browser will determine supported actions for the object based on the object's content type.
Amazon Route 53: Browse hosted zones, view hosted zone details, browse records in a hosted zone, and view record details.
Elastic Load Balancing (ELB): Browse, filter, and search load balancers. Add or remove an instance from a load balancer. View configuration details, CloudWatch metrics and alarms, and health checks.
Amazon Relational Database Service (RDS): Browse, filter, and search instances. View configuration details, CloudWatch metrics and alarms, and security and network settings.
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Practical Amazon EC2, SQS, Kinesis, and aws console Features
AWS DeepLens - Deep learning enabled video camera for dev aws console
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AWS DeepLens - Deep learning enabled vid aws console Features
Deep learning in your hands - A fully programmable video camera designed to expand deep learning skills.
Start learning right away - Learn the basics of deep learning through example projects, computer vision models, tutorials, and real world, hands-on exploration on a physical device.
A new way to learn machine learning - Allows developers of all skill levels get started with deep learning in less than 10 minutes.
Sample projects - AWS DeepLens can run custom models from Amazon SageMaker, and comes with a collection of pre-trained models ready to run on the device with a single click.
Fully programmable - Easy to customize and is fully programmable using AWS Lambda providing a familiar programming environment for developers to experiment with.
Integrated with AWS - Stream video back to AWS using Amazon Kinesis Video Streams, and apply more advanced video analytics using Amazon Rekognition Video. The device also connects securely to AWS IoT, Amazon SQS, Amazon SNS, Amazon S3, Amazon DynamoDB, and more.
Build custom models with Amazon SageMaker - New custom models trained in Amazon SageMaker can be sent to AWS DeepLens with just a few clicks from the AWS Management Console.
Broad framework support - Run any deep learning framework, including TensorFlow and Caffe. AWS DeepLens comes pre-installed with a high performance, efficient, optimized inference engine for deep learning using Apache MXNet.
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Westlake Art Wall Hanging Tapestry - Lap aws console Features
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