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[Gneuralnetwork] Updated Example

From: David Mascharka
Subject: [Gneuralnetwork] Updated Example
Date: Sat, 23 Jul 2016 15:34:32 -0500

Hi everybody,

I've had a little bit of time to play around with my idea. See for an example of a multi-layer network. There's some cleanup and restructuring to do, especially to make it extensible, but this showcases the idea.

I've got derivatives in for the network so it does learn with linear, tanh, softmax, and relu nonlinearities. I'd like to add a simple convolutional example (like LeNet learning to do MNIST handwritten digit recognition -- common benchmark for computer vision) to show this is actually useful.

What do you all think? Do you think this is a useful direction for Gneural Network to move? I'm really excited about the project and the possibilities. I'm also really enjoying working with C - Python and its libraries are painful to work with.


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