Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 14 hours
Course Outline
Introduction to CV/NLP Deployment with CANN
- The lifecycle of AI models from training through to deployment
- Critical performance factors for real-time CV and NLP applications
- An overview of CANN SDK tools and their function in model integration
Preparing CV and NLP Models
- Exporting models from PyTorch, TensorFlow, and MindSpore
- Managing model inputs and outputs for image and text-based tasks
- Utilizing ATC to transform models into OM format
Deploying Inference Pipelines with AscendCL
- Executing CV/NLP inference via the AscendCL API
- Establishing preprocessing pipelines for image resizing, tokenization, and normalization
- Implementing postprocessing for bounding boxes, classification scores, and text output
Performance Optimization Techniques
- Profiling CV and NLP models using CANN utilities
- Minimizing latency through mixed-precision and batch tuning strategies
- Optimizing memory and compute resources for streaming tasks
Computer Vision Use Cases
- Case study: object detection in smart surveillance systems
- Case study: visual quality control in manufacturing processes
- Constructing live video analytics pipelines on Ascend 310
NLP Use Cases
- Case study: sentiment analysis and intent recognition
- Case study: document categorization and summarization
- Integrating real-time NLP with REST APIs and messaging systems
Summary and Next Steps
Requirements
- Proficiency in deep learning concepts for computer vision or NLP
- Hands-on experience with Python and AI frameworks like TensorFlow, PyTorch, or MindSpore
- Foundational knowledge of model deployment and inference workflows
Target Audience
- CV and NLP specialists working with Huawei’s Ascend platform
- Data scientists and AI engineers focused on developing real-time perception models
- Developers integrating CANN pipelines in sectors such as manufacturing, surveillance, or media analytics
