caicloud/tensorflow-tutorial

第二版 第五章 5.2.1节关于计算交叉熵的问题 pp:99

skx300 opened this issue · 3 comments

skx300 commented

我看这里计算了使用非滑动平均和滑动平均的inference。但是在计算交叉熵的时候，只用到了非滑动平均的预测值。而在评价accuracy的时候，却是用了使用滑动平均的预测值。请问这里为什么不用使用滑动平均的预测值来计算交叉熵呢？因为评价的时候就是用了使用滑动平均的预测值啊。

代码片段如下：

    # 计算交叉熵及其平均值
    cross_entropy = tf.nn.sparse_softmax_cross_entropy_with_logits(logits=y, labels=tf.argmax(y_, 1))
    cross_entropy_mean = tf.reduce_mean(cross_entropy)
    # 计算正确率
    correct_prediction = tf.equal(tf.argmax(average_y, 1), tf.argmax(y_, 1))
    accuracy = tf.reduce_mean(tf.cast(correct_prediction, tf.float32))
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