Update attention_lstm.md

docs/zh-CN/model_zoo/recognition/attention_lstm.md

@@ -9,9 +9,9 @@ AttentionLSTM模型使用2nd-Youtube-8M数据集，请参考数据准备页面
 模型训练和评估，请参考教程页面(TODO)  
 在Youtube-8M验证集上，AttentionLSTM模型的Hit@1为0.89, PERR 为0.8012, GAP为0.8594.
 
-这三个指标是youtube8M数据集官方评估使用的
+这三个指标是youtube8M数据集官方评估使用的  
 Hit@k indicates the fraction of test samples that contain at least one of the ground truth labels in the top k predictions.
 PERR measures the video-level annotation precision when we retrieve the same number of entities per video as there are in the ground-truth.
-GAP is the global average precision.
-论文参考 https://arxiv.org/abs/1609.08675
+GAP is the global average precision.  
+论文参考 https://arxiv.org/abs/1609.08675  
 具体实现参考 https://github.com/google/youtube-8m/blob/master/eval_util.py