Devon,

I recently noticed convolutional neural networks for image recognition and
developed a very limited J version for my own purposes. I am not sure the
result is ready for prime time, but it was really enlightening to see what
could be done especially with J's array orientation. I got a lot from the
following link.

http://cs231n.github.io/convolutional-networks/



On Mon, Dec 4, 2017 at 10:37 PM, Devon McCormick <[email protected]> wrote:

> I'm learning about machine-learning in general and both courses I've taken
> are basically intros to Python's sci-kit which is good for a high-level
> look but gives no clue to the underlying algos.
>
> I searched the J wiki for "quadratic" and found a mention from a 2005
> NYCJUG meeting where we were lamenting that other environments simply have
> quadratic solvers available but J does not.  Looking into it more, I was
> unsure "quadratic" means in "quadratic solver"; from "Numerical Recipes", I
> gather that it may refer to quadratic convergence.  On further reflection,
> I'm not exactly sure what this means either but suspect it means something
> like O(sqrt(n)) solution time but am not sure.  I'm also unclear if this
> non-linear solver in J - http://code.jsoftware.com/wiki/Scripts/nlls - is
> an example of a quadratic solver (with this follow-up page I put together -
> http://code.jsoftware.com/wiki/NYCJUG/2010-11-09/
> Levenberg-MarquardtAlgorithm
> ).
>
> Perhaps someone more acquainted with this domain can shed some light.
>
> My ultimate goal for these sort of tools is to do something with the
> million or so photos I have but I'm seeing from what I've learned so far
> that the real work is in feature-extraction, so that at least is something
> where I can use J to good effect.
>
> I'm less interested in a wrapper such as the one Scott Locklin mentioned
> and more interested in expressing the algorithm in an understandable,
> compact form but may end up surrendering to the popularity contest and
> simply using the Python library.
>
>
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