[aidanf]

From the README, under the performance section:

> This package is not written for speed. It is meant to serve as a working example of an artificial neural network. As such, there is no GPU acceleration. Training using only the CPU can take days or even weeks. The training time can be shortened by reducing the number of updates, but this could lead to poorer performance on the test data. Consider using an exising machine learning package when searching for a deployable solution.

It seems the main aim of this software is educational, not production use.

[Ono-Sendai]

Just because it doesn't run on the GPU doesn't mean it can't be fast. At least they acknowledge it's slow.

[jostmey]

Actually, I added that disclaimer on performance because of your first comment. I realized people were getting the wrong idea about my little example, and were thinking this could be used in place of packages like Caffe, Torch7, Theano, TensorFlow, ect...