docs: Contents -> Catalogue

docs/en/inference_deployment/cpp_deploy_en.md

@@ -4,7 +4,7 @@ This tutorial will introduce the detailed steps of deploying the PaddleClas clas
 
 ---
 
-## Contents
+## Catalogue
 
 - [1. Prepare the environment](#1)
     - [1.1 Compile OpenCV](#1.1)

docs/en/inference_deployment/export_model_en.md

@@ -4,7 +4,7 @@ PaddlePaddle supports exporting inference model for deployment. Compared with tr
 
 ---
 
-## Contents
+## Catalogue
 
 - [1. Environmental preparation](#1)
 - [2. Export classification model](#2)

docs/en/inference_deployment/paddle_hub_serving_deploy_en.md

@@ -4,7 +4,8 @@ PaddleClas supports rapid service deployment through Paddlehub. At present, it s
 
 ---
 
-## Contents
+## Catalogue
+
 - [1. Introduction](#1)
 - [2. Prepare the environment](#2)
 - [3. Download inference model](#3)

docs/en/inference_deployment/paddle_lite_deploy_en.md

@@ -8,7 +8,8 @@ If you only want to test speed, please refer to [The tutorial of Paddle-Lite mob
 
 ---
 
-## Contents
+## Catalogue
+
 - [1. Preparation](#1)
     - [1.1 Build Paddle-Lite library](#1.1)
     - [1.2 Download inference library for Android or iOS](#1.2)

docs/en/inference_deployment/python_deploy_en.md

@@ -10,7 +10,7 @@ Please refer to the document [install paddle](../installation/install_paddle_en.
 
 ---
 
-## Contents
+## Catalogue
 
 - [1. Image classification inference](#1)
 - [2. Mainbody detection model inference](#2)

docs/en/inference_deployment/whl_deploy_en.md

@@ -4,7 +4,7 @@ Paddleclas supports Python WHL package for prediction. At present, WHL package o
 
 ---
 
-## Contents
+## Catalogue
 
 - [1. Installation](#1)
 - [2. Quick Start](#2)

docs/en/installation/install_paddle_en.md

@@ -2,7 +2,7 @@
 
 ---
 
-## Contents
+## Catalogue
 
 - [1. Environment requirements](#1)
 - [2.(Recommended) Prepare a docker environment](#2)

docs/en/installation/install_paddleclas_en.md

@@ -2,7 +2,7 @@
 
 ---
 
-## Contents
+## Catalogue
 
 * [1. Clone PaddleClas source code](#1)
 * [2. Install requirements](#2)

docs/en/others/VisualDL_en.md

@@ -2,7 +2,8 @@
 
 ---
 
-## Contents
+## Catalogue
+
 * [1. Preface](#1)
 * [2. Use VisualDL in PaddleClas](#2)
     * [2.1 Set config and start training](#2.1)

docs/en/others/paddle_mobile_inference_en.md

@@ -2,7 +2,7 @@
 
 ---
 
-## Contents
+## Catalogue
 
 * [1. Introduction](#1)
 * [2. Evaluation Steps](#2)

docs/en/others/train_with_DALI_en.md

@@ -2,7 +2,8 @@
 
 ---
 
-## Contents
+## Catalogue
+
 * [1. Preface](#1)
 * [2. Installing DALI](#2)
 * [3. Using DALI](#3)

docs/en/others/transfer_learning_en.md

@@ -4,7 +4,7 @@ Transfer learning is an important part of machine learning, which is widely used
 
 ---
 
-## Contents
+## Catalogue
 
 * [1. Hyperparameter search](#1)
   * [1.1 Grid search](#1.1)