!707 Add multiple tags in markdown

Merge pull request !707 from JunYuLiu/master

tutorials/source_en/advanced_use/checkpoint_for_hybrid_parallel.md

 # Saving and Loading Model Parameters in the Hybrid Parallel Scenario
 
+`Ascend` `GPU` `Model Training` `Intermediate` `Expert`
+
 <!-- TOC -->
 
 - [Saving and Loading Model Parameters in the Hybrid Parallel Scenario](#saving-and-loading-model-parameters-in-the-hybrid-parallel-scenario)

tutorials/source_en/advanced_use/computer_vision_application.md

 # Computer Vision Applications
 
+`Ascend` `GPU` `Whole Process` `Beginner` `Intermediate` `Expert`
+
 <!-- TOC -->
 
 - [Computer Vision Applications](#computer-vision-applications)

tutorials/source_en/advanced_use/customized_debugging_information.md

 # Customized Debugging Information
 
+`Ascend` `GPU` `CPU` `Model Optimization` `Intermediate` `Expert`
 
 <!-- TOC -->
 

tutorials/source_en/advanced_use/dashboard.md

 # Dashboard
 
+`Ascend` `GPU` `Model Optimization` `Intermediate` `Expert`
+
 <!-- TOC -->
 
 - [Dashboard](#dashboard)

tutorials/source_en/advanced_use/debugging_in_pynative_mode.md

 # Debugging in PyNative Mode
 
+`Ascend` `GPU` `Model Development` `Beginner` `Intermediate` `Expert`
+
 <!-- TOC -->
 
 - [Debugging in PyNative Mode](#debugging-in-pynative-mode)

tutorials/source_en/advanced_use/differential_privacy.md

 # Differential Privacy in Machine Learning
 
+`Ascend` `Data Preparation` `Model Development` `Model Training` `Model Optimization` `Enterprise` `Expert`
+
 <!-- TOC -->
 
 - [Differential Privacy in Machine Learning](#differential-privacy-in-machine-learning)

tutorials/source_en/advanced_use/distributed_training_ascend.md

 # Parallel Distributed Training (Ascend)
 
+`Ascend` `Model Training` `Intermediate` `Expert`
+
 <!-- TOC -->
 
 - [Parallel Distributed Training (Ascend)](#parallel-distributed-training-ascend)

tutorials/source_en/advanced_use/graph_kernel_fusion.md

 # Graph Kernel Fusion
 
+`Ascend` `Model Optimization` `Intermediate` `Expert`
+
 <!-- TOC -->
 
 - [Graph Kernel Fusion](#graph-kernel-fusion)

tutorials/source_en/advanced_use/host_device_training.md

 # Host+Device Hybrid Training
 
+`Ascend` `CPU` `Model Training` `Intermediate` `Expert`
+
 <!-- TOC -->
 
 - [Host+Device Hybrid Training](#hostdevice-hybrid-training)

tutorials/source_en/advanced_use/lineage_and_scalars_comparision.md

 # Lineage and Scalars Comparision
 
+`Ascend` `GPU` `Model Optimization` `Intermediate` `Expert`
+
 <!-- TOC -->
 
 - [Lineage and Scalars Comparision](#lineage-and-scalars-comparision)

tutorials/source_en/advanced_use/mindinsight_commands.md

 # MindInsight Commands
 
+`Ascend` `GPU` `Model Optimization` `Intermediate` `Expert`
+
 <a href="https://gitee.com/mindspore/docs/blob/master/tutorials/source_en/advanced_use/mindinsight_commands.md" target="_blank"><img src="../_static/logo_source.png"></a>
 
 <!-- TOC -->

tutorials/source_en/advanced_use/mixed_precision.md

 # Mixed Precision
 
+`Ascend` `GPU` `Model Training` `Intermediate` `Expert`
+
 <!-- TOC -->
 
 - [Mixed Precision](#mixed-precision)

tutorials/source_en/advanced_use/model_security.md

 # Model Security
 
+`Ascend` `GPU` `CPU` `Data Preparation` `Model Development` `Model Training` `Model Optimization` `Enterprise` `Expert`
+
 <!-- TOC -->
 
 - [Model Security](#model-security)

tutorials/source_en/advanced_use/network_migration.md

 # Network Migration
 
+`Ascend` `GPU` `CPU` `Whole Process` `Beginner` `Intermediate` `Expert`
+
 <!-- TOC -->
 
 - [Network Migration](#network-migration)

tutorials/source_en/advanced_use/nlp_application.md

 # Natural Language Processing (NLP) Application
 
+`GPU` `CPU` `Whole Process` `Beginner` `Intermediate` `Expert`
+
 <!-- TOC -->
 
 - [Natural Language Processing (NLP) Application](#natural-language-processing-nlp-application)

tutorials/source_en/advanced_use/parameter_server_training.md

 # Parameter Server Training
 
+`Ascend` `Model Training` `Intermediate` `Expert`
+
 <!-- TOC -->
 
 - [Parameter Server Training](#parameter-server-training)

tutorials/source_en/advanced_use/performance_profiling.md

 # Performance Profiler
 
+`Ascend` `Model Optimization` `Intermediate` `Expert`
+
 <!-- TOC -->
 
 - [Performance Profiler](#performance-profiler)

tutorials/source_en/advanced_use/quantization_aware.md

 # Quantization
 
+`Ascend` `GPU` `Model Optimization` `Expert`
+
 <!-- TOC -->
 
 - [Quantization](#quantization)

tutorials/source_en/advanced_use/serving.md

 # MindSpore-based Inference Service Deployment
 
+`Ascend` `Environmental Setup` `Enterprise` `Expert`
 
 <!-- TOC -->
 

tutorials/source_en/advanced_use/summary_record.md

 # Summary Record
 
+`Ascend` `GPU` `Model Optimization` `Intermediate` `Expert`
+
 <!-- TOC -->
 
 - [Summary Record](#summary-record)

tutorials/source_en/advanced_use/system_metrics.md

 # System Metrics
 
+`Ascend` `Model Optimization` `Intermediate` `Expert`
+
 <!-- TOC -->
 
 - [Overview](#overview)

tutorials/source_en/quick_start/quick_start.md

 # Implementing an Image Classification Application
 
+`Ascend` `GPU` `CPU` `Whole Process` `Beginner` `Intermediate` `Expert`
+
 <!-- TOC -->
 
 

tutorials/source_en/use/custom_operator.md

 # Custom Operators
 
+`Ascend` `Model Development` `Expert`
+
 <!-- TOC -->
 
 - [Custom Operators](#custom-operators)

tutorials/source_en/use/data_preparation/converting_datasets.md

 # Converting Datasets to the Mindspore Data Format
 
+`Ascend` `GPU` `CPU` `Data Preparation` `Beginner` `Intermediate` `Expert`
+
 <!-- TOC -->
 
 - [Converting Datasets to the Mindspore Data Format](#converting-datasets-to-the-mindspore-data-format)

tutorials/source_en/use/data_preparation/data_processing_and_augmentation.md

 # Data Processing and Augmentation
 
+`Ascend` `GPU` `CPU` `Data Preparation` `Beginner` `Intermediate` `Expert`
+
 <!-- TOC -->
 
 - [Data Processing and Augmentation](#data-processing-and-augmentation)

tutorials/source_en/use/data_preparation/loading_the_datasets.md

 # Loading the Dataset
 
+`Ascend` `GPU` `CPU` `Data Preparation` `Beginner` `Intermediate` `Expert`
+
 <!-- TOC -->
 
 - [Loading the Dataset](#loading-the-dataset)

tutorials/source_en/use/multi_platform_inference.md

 # Multi-Platform Inference
 
+`Ascend` `GPU` `CPU` `Inference Application` `Beginner` `Intermediate` `Expert`
+
 <!-- TOC -->
 
 - [Multi-Platform Inference](#multi-platform-inference)

tutorials/source_en/use/saving_and_loading_model_parameters.md

 # Saving and Loading Model Parameters
 
+`Ascend` `GPU` `CPU` `Model Export` `Beginner` `Intermediate` `Expert`
+
 <!-- TOC -->
 
 - [Saving and Loading Model Parameters](#saving-and-loading-model-parameters)