Recent developments in deep learning has transformed the world of computer vision. The latest deep learning models for image classification, object detection and image segmentation offers opportunities for applications in the manufacturing industry, high-tech systems, agriculture, robotics and the medical world, among others. Thanks to the integrated approach of the Advanced deep learning: computer vision course, you will learn to develop, train and deploy models.
- Learn deep learning for computer vision applications
- Learn about object detection, image segmentation, and hardware and software
- Develop, train and deploy models for advanced image processing with an integral approach
About the course Advanced deep learning: computer vision
This course provides engineers, programmers and researchers with an in-depth understanding of deep learning for computer vision applications. The course details some deep learning techniques for advanced image processing with an integrative approach: developing, training and deploying models.
This computer vision course consists of three parts:
- Object detection
- Image segmentation
- Hardware and software
For each chapter, you will be given Python code assignments and projects in the form of Jupyter notebooks. You can develop many of the deep learning algorithms yourself after completing this course so that you have the technical skills to start projects on your own.
Prior knowledge:
This course builds on the Advanced deep learning: foundation course. Having this knowledge is required to take this course.
Study Load
During the course, assignments will be provided for you to work on at home. For each course day you should take into account +/- 8 hours of 'homework'.
Certificate of participation
If you complete the course, you will receive a certificate of participation.
Program
Day 1: Object detection
During this day deep learning techniques for object detection are explained. The following topics will be covered:
- Template matching
- R-CNN
- Fast R-CNN
- SSD
- YOLO
- mAP
- Performance measures
Day 2: Image segmentation
During this day deep learning techniques for image segmentation are explained. The following topics will be covered:
- SFCN
- U-Net
- DeepLab family
- Mask R-CNN
- Loss functions
- Performance measures
Day 3: Hardware and software
During this day hardware and software options are discussed to implement computer vision algorithms.
Your teacher
Dr. Ir. Albert van Breemen
Dr. Ir. Albert van Breemen studied electrical engineering at the University of Twente and received his PhD in the field of intelligent software systems in 2001. He then worked for 8 years at Philips Research within the Ambient Intelligence program on, among other things, Social Robotics. With the project 'iCat user-interface robot' Albert received the Time Magazine Best Invention award in 2005, and in 2007 the New Technology Foundation (NTF) Award on Entertainment Systems and Robots. Albert then worked for over 10 years as Senior New Business Development Manager at ASML. He researched opportunities for ASML in the application of new technologies, including artificial intelligence. He combined his knowledge for technology and sense for value creation to form his company VBTI in 2019.
With his company he focuses on intelligent automation (sensor-data driven applications): AI applied in machines so that customers from High Tech Manufacturing, Mechanical Engineering and Agriculture, among others, can realize until recently impossible solutions and functionalities in very challenging environments. Think of recognizing leaf nodes in cucumber cultivation or harvesting asparagus. The variation of both the plant and the background are pre-eminent challenges where AI over traditional vision techniques offers a solution.
Place, dates and prices - Open registrations
The new date for this course is soon known.
Discover the possibilities to organize this course incompany
If you want to train several employees in your company, it is more interesting and cheaper to organize a course at your location. Good coordination with your company-specific situation and the deployment of highly experienced lecturers who have earned their spurs in practice is essential here. Mikrocentrum is CEDEO-recognized and guarantees the best quality.
Our training manager is happy to think along with you!
Are you interested in an incompany process? Our Training manager Wouter Lintsen will be happy to visit you without obligation.
