Amazon Web Services (AWS) supports many popular deep learning and AI frameworks but will focus development effort on MXNet.

If you're new to deep learning, you can begin with those pre-trained models and then eventually move onto training your own models in Amazon SageMaker and sending them to AWS DeepLens yourself.

Microsoft and AWS aren’t the only IT companies that are looking to make deep learning and AI in general, more approachable for software developers.

Amazon's DeepLens, a deep learning enabled video camera, is now generally available and hitting the market for $249. AWS DeepLens is designed to run models via TensorFlow and Caffe in less then 10 ...

AWS’ prepackaged edition of the popular TensorFlow deep learning framework, for instance, can train neural networks up to twice as fast as the vanilla version.

AWS DeepLens is the world’s first deep learning-enabled wireless video camera built to give developers hands-on experience with machine learning Amazon Transcribe, Amazon Translate, Amazon ...

AWS announces general availability of Amazon EC2 Trn1 instances powered by AWS Trainium Chips. Trn1 instances deliver the highest performance on deep learning training of popular machine learning ...

Recently, Amazon introduced AWS Deep Learning Containers (AWS DL Containers), which are Docker images pre-installed with deep learning frameworks allowing customers to deploy custom machine ...

With SageMaker Training Compiler, AWS today launched a new feature that can accelerate the training of deep learning models by up to 50% through more efficient use of GPU instances.