Monday, 5 March 2018

AWS Deep Learning AMIs introduces Apache MXNet 1.1, Chainer, PyTorch 0.3.1 support

The Amazon Web Service Deep Learning Amazon Machine Image now supports Apache MXNet 1.1, Chainer and PyTorch 0.3.1 support. Chainer is a flexible and perceptive framework for neural networks. Chainer utilizes the “define by run” method that allows developers to specify the deep learning architecture on the fly. Dynamic Computation graphs are required when working with the recurrent neural networks and with the inputs of variable length like natural language processing. PyTorch 0.3.1 and Apache MXNet 1.1 will be providing increased performance and usability improvements and bug fixes. 

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Optimizing Performance and Cost: Migrating an Express.js Application from EC2 to AWS Lambda

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