Neuroph: a lightweight Java neural network framework(neuroph.sourceforge.net)
neuroph.sourceforge.net
Neuroph: a lightweight Java neural network framework
http://neuroph.sourceforge.net/
3 comments
Well, this thing supports GUI/visualization as well, so many of these objects make sense.
This would be really great to drop into groovy to do quick ANN's to quickly make a prototype of some software.
[deleted]
"Neural networks" are just the composition of several nonlinear regressions. There's nothing particularly "neural" about them.
Here's a typical 3-layer network:
f(x,Wh,Wo) = tanh(Wo * tanh(Wh * X))
Wh, and Wo are the hidden and output weight matrices respectively. Fix some loss function (ie, L(x,Wh,Wo,y) = || f(x,Wh,Wo) - y||^2), get the gradient of this function, and a take step down the gradient. There's your learning rule.
Now, I understand the desire for flexibility/modularity, but (1) what's the sense of trying to house supervised and unsupervised methods in the same hierarchy? and (2) what could possibly justify Connection and Weight objects?