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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.
The text was updated successfully, but these errors were encountered:
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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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.
The text was updated successfully, but these errors were encountered: