Commits

Miki Tebeka committed 574ca16

using pybrain

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 #!/usr/bin/env python
 
+from pybrain.tools.shortcuts import buildNetwork
 from pybrain.datasets import SupervisedDataSet
+from pybrain.supervised.trainers import BackpropTrainer
 from scipy.io import loadmat
+from itertools import izip
 
 data = loadmat('ex3/ex3data1.mat')
 X, y = data['X'], data['y']
 ds = SupervisedDataSet(X.shape[1], y.shape[1])
+for inp, target in izip(X, y):
+    ds.addSample(inp, target)
 
+net = buildNetwork(X.shape[1], X.shape[1], y.shape[1])
+t = BackpropTrainer(net, learningrate=0.01,momentum=0.5)
+t.trainOnDataset(ds, 10)
+
+
+from random import choice
+indexes = range(len(X))
+for _ in range(10):
+    i = choice(indexes)
+    print(net.activate(X[i]), y[i])