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comparison simple_autoassociator.py/graph.py @ 388:98ca97cc9910

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Debugging simple AA
author Joseph Turian <turian@gmail.com>
date Tue, 08 Jul 2008 17:41:26 -0400
parents a474341861fa
children
comparison
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387:dace8b9743af 388:98ca97cc9910
12 w2 = t.dmatrix() 12 w2 = t.dmatrix()
13 b2 = t.dvector() 13 b2 = t.dvector()
14 h = sigmoid(dot(x, w1) + b1) 14 h = sigmoid(dot(x, w1) + b1)
15 y = sigmoid(dot(h, w2) + b2) 15 y = sigmoid(dot(h, w2) + b2)
16 16
17 loss = t.sum(binary_crossentropy(y, x)) 17 loss_unsummed = binary_crossentropy(y, x)
18 loss = t.sum(loss_unsummed)
18 19
19 (gw1, gb1, gw2, gb2) = t.grad(loss, [w1, b1, w2, b2]) 20 (gw1, gb1, gw2, gb2) = t.grad(loss, [w1, b1, w2, b2])
20 21
21 import theano.compile 22 import theano.compile
22 23
23 inputs = [x, w1, b1, w2, b2] 24 inputs = [x, w1, b1, w2, b2]
24 outputs = [y, loss, gw1, gb1, gw2, gb2] 25 outputs = [y, h, loss, loss_unsummed, gw1, gb1, gw2, gb2]
25 trainfn = theano.compile.function(inputs, outputs) 26 trainfn = theano.compile.function(inputs, outputs)