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Update mnist_tf.md #154

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Oct 31, 2016
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4 changes: 2 additions & 2 deletions SOURCE/tutorials/mnist_tf.md
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Expand Up @@ -81,7 +81,7 @@ labels_placeholder = tf.placeholder(tf.int32, shape=(batch_size))

`inference()`函数会尽可能地构建图表，做到返回包含了预测结果（output prediction）的Tensor。

它接受图像占位符为输入，在此基础上借助ReLu(Rectified Linear Units)激活函数，构建一对完全连接层（layers），以及一个有着十个节点（node）、指明了输出logtis模型的线性层。
它接受图像占位符为输入，在此基础上借助ReLu(Rectified Linear Units)激活函数，构建一对完全连接层（layers），以及一个有着十个节点（node）、指明了输出logits模型的线性层。

每一层都创建于一个唯一的[`tf.name_scope`](../api_docs/python/framework.md#name_scope)之下，创建于该作用域之下的所有元素都将带有其前缀。

Expand Down Expand Up @@ -397,4 +397,4 @@ print ' Num examples: %d Num correct: %d Precision @ 1: %0.02f' % (

> 原文：[TensorFlow Mechanics 101](http://www.tensorflow.org/tutorials/mnist/tf/index.md)
> 翻译：[bingjin](https://github.com/bingjin)
> 校对：[LichAmnesia](https://github.com/LichAmnesia)
> 校对：[LichAmnesia](https://github.com/LichAmnesia)