提交 d12c733a 编写于 作者: N Nicky

Add chinese translation for Book chapter 8 machine translation

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...@@ -51,7 +51,7 @@ After training and with a beam-search size of 3, the generated translations are ...@@ -51,7 +51,7 @@ After training and with a beam-search size of 3, the generated translations are
## Overview of the Model ## Overview of the Model
This section will introduce Gated Recurrent Unit (GRU), Bi-directional Recurrent Neural Network, the Encoder-Decoder framework used in NMT, attention mechanism, as well as the beam search algorithm. This section will introduce Bi-directional Recurrent Neural Network, the Encoder-Decoder framework used in NMT, as well as the beam search algorithm.
### Bi-directional Recurrent Neural Network ### Bi-directional Recurrent Neural Network
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...@@ -93,7 +93,7 @@ After training and with a beam-search size of 3, the generated translations are ...@@ -93,7 +93,7 @@ After training and with a beam-search size of 3, the generated translations are
## Overview of the Model ## Overview of the Model
This section will introduce Gated Recurrent Unit (GRU), Bi-directional Recurrent Neural Network, the Encoder-Decoder framework used in NMT, attention mechanism, as well as the beam search algorithm. This section will introduce Bi-directional Recurrent Neural Network, the Encoder-Decoder framework used in NMT, as well as the beam search algorithm.
### Bi-directional Recurrent Neural Network ### Bi-directional Recurrent Neural Network
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