#mlpack on 2017-01-14 — irc logs at libera.irclog.whitequark.org

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00:11 < travis-ci> mlpack/mlpack#1737 (master - 617d81b : Ryan Curtin): The build passed.

00:11 < travis-ci> Change view : https://github.com/mlpack/mlpack/compare/c6154aef9b84...617d81b90cda

00:11 < travis-ci> Build details : https://travis-ci.org/mlpack/mlpack/builds/191798919

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16:37 < lemon> hello, I found this channel via the Google Summer of Code 2016 page. I am interested to apply this year, so I was wondering if the organization will apply again

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20:25 < yashu-seth> Hello everyone. I was looking into the ann modules but I could not find any documentation related to it. I also found that PR #831 makes certain changes to the modules. Where can I find some resources to explore the modules keeping in mind the recent planned changes?

20:44 < zoq> yashu-seth: Hello, unfortunately there is no up to date documentation. A good place to start would be to look at the unit tests:

20:44 < zoq> https://github.com/zoq/mlpack/blob/ann/src/mlpack/tests/recurrent_network_test.cpp

20:44 < zoq> https://github.com/zoq/mlpack/blob/ann/src/mlpack/tests/convolutional_network_test.cpp

20:44 < zoq> https://github.com/zoq/mlpack/blob/ann/src/mlpack/tests/feedforward_network_test.cpp

20:45 < zoq> If you like to write a new layer take a look at one of the layer classes e.g.:

20:45 < zoq> https://github.com/zoq/mlpack/blob/ann/src/mlpack/methods/ann/layer/linear.hpp

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20:46 < zoq> There are basically just three important functions Forward, Backward and Gradient.

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20:56 < yashu-seth> Thank you zoq. I will have a look at the tests.

20:57 < zoq> yashu-seth: Let us know if you have any questions.

20:59 < yashu-seth> Yes. Sure. :)

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