def create_pretrained_encoder(weights, biases, incoming):
l_1 = DenseLayer(incoming, 2000, W=weights[0], b=biases[0], nonlinearity=sigmoid, name='fc1')
l_2 = DenseLayer(l_1, 1000, W=weights[1], b=biases[1], nonlinearity=sigmoid, name='fc2')
l_3 = DenseLayer(l_2, 500, W=weights[2], b=biases[2], nonlinearity=sigmoid, name='fc3')
l_4 = DenseLayer(l_3, 50, W=weights[3], b=biases[3], nonlinearity=linear, name='encoder')
return l_4
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