Monday, 18 June 2018

AWS DeepLens supports TensorFlow and Caffe, Expanded MXNet layer support and much more

AWS has added a lot of support for AWS DeepLens with new capabilities such as DeepLens that is optimized for the TensorFlow and Caffe Frameworks. Expanded MXNet Layer Support for Deconvolution, LRN, and L2Normalization. The Video stream from the DeepLens camera can be now utilized with the Amazon Kinesis Video Stream. AWS has also added a new sample project for head pose detection. It will use a deep learning model that is built with the TensorFlow framework to precisely detect the movement of the person’s head. You can also now view the output of the projects over the browser while being on the same network. 

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