import tensorflow as tf

                                stddev=1.0 / math.sqrt(float(128))),
            name="weights")
        biases = tf.Variable(tf.zeros([32]),
                             name="biases")
        hidden2 = tf.nn.relu(tf.matmul(hidden1, weights) + biases)
      # Linear
      with tf.name_scope("softmax_linear"):
        weights = tf.Variable(
