Get hands-on with deep learning
Study the fundamentals of deep learning - a machine learning technique that utilizes neural networks to learn and create forecasts - via tutorials, computer vision projects, and real world, hands-on examination with a physical device. AWS DeepLens allows you to run deep learning models nearby on the camera to examine and take action on what it sees.
A new way to learn machine learning
AWS DeepLens enables developers of all skill levels to begin with deep learning in less than 10 minutes by offering example projects with a practical, hands-on instance which can begin running with a single click.
Custom built for deep learning
AWS DeepLens was created with deep learning in mind. With over 100 GFLOPS of calculating power on the device, it can procedure deep learning predictions on HD video for real time.
Build custom models with Amazon SageMaker
From the AWS Management Console Models trained in Amazon SageMaker can be send to AWS DeepLens with just little clicks.
Broad framework support
Any deep learning framework can be run by AWS developers, containing TensorFlow and Caffe. AWS DeepLens comes pre-installed with a high performance, proficient, enhanced inference engine for deep learning with the use of Apache MXNet.
Integrated with AWS
AWS DeepLens incorporates with Amazon Rekognition for higher image analysis, Amazon SageMaker for training models, and with Amazon Polly to make speech-empowers projects. The device also attached steadily to AWS IoT, Amazon SNS, Amazon S3, Amazon SQS, Amazon DynamoDB, and more.
AWS DeepLens is simple to modify and is completely programmable with the use of AWS Lambda. The deep learning models in DeepLens still run as part of an AWS Lambda function, offering a recognizable programming environment to research with.
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