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Add missing w_o as model argument #8

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Add missing w_o as model argument #8

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6 changes: 3 additions & 3 deletions 5_convolutional_net.py
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Original file line number Diff line number Diff line change
Expand Up @@ -40,7 +40,7 @@ def RMSprop(cost, params, lr=0.001, rho=0.9, epsilon=1e-6):
updates.append((p, p - lr * g))
return updates

def model(X, w, w2, w3, w4, p_drop_conv, p_drop_hidden):
def model(X, w, w2, w3, w4, w_o, p_drop_conv, p_drop_hidden):
l1a = rectify(conv2d(X, w, border_mode='full'))
l1 = max_pool_2d(l1a, (2, 2))
l1 = dropout(l1, p_drop_conv)
Expand Down Expand Up @@ -74,8 +74,8 @@ def model(X, w, w2, w3, w4, p_drop_conv, p_drop_hidden):
w4 = init_weights((128 * 3 * 3, 625))
w_o = init_weights((625, 10))

noise_l1, noise_l2, noise_l3, noise_l4, noise_py_x = model(X, w, w2, w3, w4, 0.2, 0.5)
l1, l2, l3, l4, py_x = model(X, w, w2, w3, w4, 0., 0.)
noise_l1, noise_l2, noise_l3, noise_l4, noise_py_x = model(X, w, w2, w3, w4, w_o, 0.2, 0.5)
l1, l2, l3, l4, py_x = model(X, w, w2, w3, w4, w_o, 0., 0.)
y_x = T.argmax(py_x, axis=1)


Expand Down