How A Retro Video Game Ended Up As An Ultimate Challenge For AI

“MXNet, born and bred here at CMU, is the most scalable framework for deep learning I have seen and is a great example of what makes this area of computer science so beautiful – that you have different disciplines which all work so well together: imaginative linear algebra working in a novel way with massive distributed computation leading to a whole new ball game for deep learning,”  said Andrew Moore, former dean of Computer Science at the Carnegie Mellon University.

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Developed by the Apache Software Foundation, MXNet is a fully-featured, flexible, and scalable open-source deep learning framework. In a short time, MXNet has emerged as one of the strong contenders to industry favourite frameworks such as TensorFlow and PyTorch. Notably, Amazon uses it for its deep learning web services.

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