update en docs

c5ea1738 · cuicheng01 · 60f18b97 · c5ea1738 · c5ea1738 · c5ea1738
3 changed file
--- a/docs/en/algorithm_introduction/ImageNet_models_en.md
+++ b/docs/en/algorithm_introduction/ImageNet_models_en.md
--- a/docs/en/algorithm_introduction/image_classification_en.md
+++ b/docs/en/algorithm_introduction/image_classification_en.md
-## Contents
+## Catalogue

 - [1. Dataset Introduction](#1)
  - [1.1 ImageNet-1k](#1.1)

--- a/docs/en/quick_start/quick_start_multilabel_classification_en.md
+++ b/docs/en/quick_start/quick_start_multilabel_classification_en.md
@@ -2,7 +2,7 @@

 Experience the training, evaluation, and prediction of multi-label classification based on the [NUS-WIDE-SCENE](https://lms.comp.nus.edu.sg/wp-content/uploads/2019/research/nuswide/NUS-WIDE.html) dataset, which is a subset of the NUS-WIDE dataset. Please first install PaddlePaddle and PaddleClas, see [Paddle Installation](https://github.com/PaddlePaddle/PaddleClas/blob/develop/docs/zh_CN/installation) and [PaddleClas installation](https://github.com/PaddlePaddle/PaddleClas/blob/develop/docs/zh_CN/installation/install_ paddleclas.md) for more details.

-## Contents
+## Catalogue

 - [1. Data and Model Preparation](#1)
 - [2. Model Training](#2)
@@ -114,4 +114,4 @@ Obtain an output silimar to the following:

 ```
 0517_2715693311.jpg:    class id(s): [6, 13, 17, 23, 26, 30], score(s): [0.96, 0.56, 0.55, 0.99, 0.59, 0.79], label_name(s): []
-```
\ No newline at end of file
+```