设置不同的学习率

y.update([x])

learning_rate = 0.01				
Layers=lasagne.layers.get_all_layers(network)
updates = collections.OrderedDict()
updates.update(lasagne.updates.sgd(
                      loss, 
                      Layers[-1].get_params(trainable=True),
                      learning_rate*0.1
                      ))
for i in range(len(Layers)-1):        
    updates.update(lasagne.updates.sgd(
                      loss, 
                      Layers[i].get_params(trainable=True),
                      learning_rate
                      ))