What is OpenMMLab?
To help more students avoid detours in reproduction and achieve comparisons of different settings in the same environment, The Chinese University of Hong Kong – SenseTime Joint Laboratory (MMLab) launched the OpenMMLab project. It is an open-source codebase for multiple important research areas, striving for better code quality and overall advantages compared to other codebases, with the goal of “Open-Source, Unified, Reproducible”.
OpenMMLab is a leader in the domestic open-source field of artificial intelligence algorithms, receiving widespread acclaim from academia and industry. It has been adopted by champion teams in several international academic competitions and provides convenient model training and deployment frameworks for leading enterprises and SMEs through comprehensive industrial-grade support, forming a vast industrial application ecosystem widely used in smart cities, smart healthcare, smart industry, and smart entertainment.However, due to the complexity of the knowledge points, it is challenging for both universities and enterprises to develop a complete tutorial. Many beginners can only rely on scattered online materials for learning, making it difficult to progress efficiently. Gupao Technology is honored to inviteDr. Tang Yudi, who has rich frontline practical experience in artificial intelligence and computer vision, to systematically organize the OpenMMLAB framework technology over two days.Live Broadcast Content01PART
Live Broadcast Time: September 7th-8th, 20:00-22:30
Day 1: In-Depth Explanation of Deep Learning CNN Convolutional Neural Network Algorithms
- Analysis of Neural Network Model Knowledge Points
- Interpretation of the Overall Architecture of Neural Network Models
- Overall Architecture and Parameter Design of Convolutional Neural Networks
Day 2: Mastering AI Paper Experimental Analysis from Scratch(Based on the MMLab series framework)
- Interpretation of the SenseTime MMLAB Series Framework (Based on PyTorch)
- Deconstruction of Segmentation and Detection Network Structures and Interpretation of Framework Configuration Files
- Completing Task Training and Experimental Analysis from Data Annotation
- Easy Network Structure Replacement Experiments Without Understanding Code
Students interested in the OpenMMLAB framework can scan the QR code below to book the live broadcast.
Original Price199Scan the QR code belowto book the course for only 0.02 yuan!
Great benefits, limited to the first 100 participants
02PARTInstructor
Live Broadcast Gains03PART
Instructor-led Practice, Accompanied Programming Environment
You will gain an accompanied programming environment.The instructor will guide you using scientific methods to help you digest difficult knowledge points, and @Dr. Tang Yudi will share a set of effective technical improvement solutions, helping you overcome confusion and clarify your growth direction!
Three-in-One Tracking Service, Project Practice Driven, Deep Understanding of Principles
Once you register, you will receive three-in-one tracking service from the instructor, teaching assistant, and class monitor, available 24 hours to answer your questions.Additionally, you will have talented classmates from all over, creating a strong technical atmosphere, making it hard not to improve!
Completion Gift Package
Note: Organized into a cloud disk, add the assistant, and receive it for free after registering for the course!
☑ Famous Teacher Support ☑ High Value ☑ Improve Professional AbilityFan Discounts! 0.02 yuan!
Receive a big gift package after completing the course
Q&A
Q: What is specifically included in the course content?A: Including but not limited to: Applications and progress sharing based on the OpenMMLAB framework+ 1V1 Q&A with famous teachers + professional improvement techniquesQ: What is the teaching method?A: Scan the code to add the teacher’s WeChat and receive the course link!
