[Docs] Fix some typo in docs.

docs/en/getting_started.md

@@ -81,7 +81,6 @@ Optional arguments:
 
 Examples:
 
-Assume that you have already downloaded the checkpoints to the directory `checkpoints/`.
 Infer ResNet-50 on ImageNet validation set to get predicted labels and their corresponding predicted scores.
 
 ```shell

docs/en/tutorials/finetune.md

@@ -5,7 +5,7 @@ This tutorial provides instructions for users to use the models provided in the
 
 There are two steps to fine-tune a model on a new dataset.
 
-- Add support for the new dataset following [Tutorial 2: Adding New Dataset](new_dataset.md).
+- Add support for the new dataset following [Tutorial 3: Adding New Dataset](new_dataset.md).
 - Modify the configs as will be discussed in this tutorial.
 
 Assume we have a ResNet-50 model pre-trained on the ImageNet-2012 dataset and want

docs/zh_CN/getting_started.md

@@ -81,8 +81,6 @@ python tools/test.py ${CONFIG_FILE} ${CHECKPOINT_FILE} [--metrics ${METRICS}] [-
 
 例子：
 
-假定用户将下载的模型权重文件放置在 `checkpoints/` 目录下。
-
 在 ImageNet 验证集上，使用 ResNet-50 进行推理并获得预测标签及其对应的预测得分。
 
 ```shell

docs/zh_CN/tutorials/finetune.md

@@ -6,7 +6,7 @@
 
 在新数据集上微调模型分为两步：
 
-- 按照 [教程 2：如何增加新数据集](new_dataset.md) 添加对新数据集的支持。
+- 按照 [教程 3：如何增加新数据集](new_dataset.md) 添加对新数据集的支持。
 - 按照本教程中讨论的内容修改配置文件
 
 假设我们现在有一个在 ImageNet-2012 数据集上训练好的 ResNet-50 模型，并且希望在