NLP Training Lab
Introduction
Natural Language Processing (NLP) training lab covers typical application scenarios of NLP and provides detailed training process, including steps such as data labeling, model training, model call and deployment, to help students quickly get started and master related knowledge and skills.
Applicable Majors: Artificial Intelligence/Intelligent Science and Technology/Computer related majors
Course Products: professional core course and professional extension course in natural language processing
Project Products: multiple projects aimed at natural language processing and centered around techniques such as text preprocessing, feature extraction, text classification, semantic analysis
Intelligent Hardwares: touch screen, edge processor, etc
• There are well-established and tested curriculum resources
• Includes laboratory resources in a variety of particle sizes
• Including the practical training project resources to the enterprise
Comprehensive technology coverage
• The training room covers typical application scenarios of NLP and provides detailed training process, including steps such as data labeling, model training, model call and deployment, to help students quickly get started and master relevant knowledge and skills.
Natural Language Processing (NLP) training lab covers typical application scenarios of NLP and provides detailed training process, including steps such as data labeling, model training, model call and deployment, to help students quickly get started and master related knowledge and skills.
Applicable Majors: Artificial Intelligence/Intelligent Science and Technology/Computer related majors
Course Products: professional core course and professional extension course in natural language processing
Project Products: multiple projects aimed at natural language processing and centered around techniques such as text preprocessing, feature extraction, text classification, semantic analysis
Intelligent Hardwares: touch screen, edge processor, etc
Application Scenarios: professional teaching, comprehensive practical training, competition training
Features
Integration of theory and practice• There are well-established and tested curriculum resources
• Includes laboratory resources in a variety of particle sizes
• Including the practical training project resources to the enterprise
Comprehensive technology coverage
• The training room covers typical application scenarios of NLP and provides detailed training process, including steps such as data labeling, model training, model call and deployment, to help students quickly get started and master relevant knowledge and skills.