How does Amazon's MXNet Deep Learning framework compare to the other deep learning frameworks, especially tensorflow? It's got an imperative programming API and it does well with distributed training. I'll go over some key features then start coding different data structures using its symbol, ndarray, and module API.
Code for this video:
https://github.com/llSourcell/MXNet
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