import tensorflow as tf

                    self.nnweights.append(weights)

                    biases = tf.get_variable('biases', [hidden_layers_node[i]],
                                             initializer=tf.constant_initializer(0.0))

                    layer_out = tf.nn.dropout(tf.matmul(prev_x, weights) + biases, dropout_keep_prob)
