Amazon's MXNet Deep Learning Framework - Siraj Raval

What this episode covers

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 Please Subscribe! And like. And comment. That's what keeps me going. Want more education? Connect with me here: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology instagram: https://www.instagram.com/sirajraval More learning resources: https://www.youtube.com/watch?v=GBkOMtc9BIk https://www.youtube.com/watch?v=iLqEhCqCQ70 https://www.youtube.com/watch?v=kGktiYF5upk https://www.youtube.com/watch?v=ZYVPdzEsJAQ Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ And please support me on Patreon: https://www.patreon.com/user?u=3191693

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How long is this episode of Siraj Raval?

This episode is 17 minutes long.

When was this Siraj Raval episode published?

This episode was published on February 28, 2018.

What is this episode about?

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...

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