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Automatic differentiation #2

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Evizero opened this issue Sep 4, 2015 · 1 comment
Open

Automatic differentiation #2

Evizero opened this issue Sep 4, 2015 · 1 comment

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@Evizero
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Evizero commented Sep 4, 2015

A hot topic for neural networks is the use of automatic differentiation. I have seen the recent announcement of ForwardDiff which seems very promising in that regard. Might be worth considering for this package.

For example: Here is a discussion on the MachineLearning subreddit where that interest came up.

@tbreloff
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tbreloff commented Sep 4, 2015

Yes nothing stopping auto diff as part of the framework... Should be no more than a short method or 2 to implement. Let me know if you have a specific cost function or activation that you're interested in... I might be able to help out.

On Sep 4, 2015, at 4:08 PM, Christof Stocker [email protected] wrote:

A hot topic for neural networks is the use of automatic differentiation. I have seen the recent announcement of ForwardDiff which seems very promising in that regard. Might be worth considering for this package.

For example: Here is a discussion on the MachineLearning subreddit where that interest came up.


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