import tensorflow as tf

    '''
    Evaluate the quality of the logits at predicting the label
    '''
    correct = tf.equal(tf.arg_max(logits,1), tf.arg_max(labels,1))
    correct = tf.cast(correct, tf.int32)
    n_correct = tf.reduce_sum(correct)

    return n_correct

def optimize(loss, learning_rate, global_step):
