TensorFlow™ enables developers to quickly and easily get started with deep learning in the cloud. The framework has broad support in the industry and has become a popular choice for deep learning research and application development, particularly in areas such as computer vision, natural language understanding and speech translation.
You can get started using TensorFlow on AWS by launching the AWS Deep Learning AMI which comes bundled with TensorFlow, as well as other popular deep learning frameworks such as Apache MXNet and Gluon, Caffe, Caffe2, Theano, Torch, Keras, and the Microsoft Cognitive Toolkit.
TensorFlow comes with a full suite of visualization tools that make it easy to understand, debug, and optimize applications. With support for a variety of styles – from images and audio to histograms and graphs – you can train massive deep neural networks quickly and easily.
TensorFlow Mobile features a reduced code footprint and mathematical tools to facilitate smaller model sizes. Suitable for Android, TensorFlow Mobile is also ideal for situations where network access is intermittent or expensive.
With TensorFlow, you get access to extensive documentation and tutorials that can help accelerate your AI development. TensorFlow also has a large and extremely active community of users who regularly contribute code and resolve issues on GitHub.
Customers using TensorFlow on AWS
Explore deep learning on AWS
With the AWS Deep Learning AMIs, you can train custom models, experiment with new algorithms, and learn new deep learning skills and techniques. The AMIs come in several flavors including pre-installed, open source deep learning frameworks such as Apache MXNet and Gluon, TensorFlow, Microsoft Cognitive Toolkit, Caffe, Caffe2, Theano, Torch, PyTorch, and Keras. There is no additional charge to use the AMIs—you pay only for the AWS resources needed to store and run your applications. More >