Application of neural networks in computer vision

• Computer Vision: We introduce you to specific problems and terms.

• Convolutional Neural Networks (CNNs): You will gain a deeper insight into the function and structure of CNNs, a central technology in image processing.

• Data preparation and image augmentation: We will show you how to optimise your image data for training neural networks using image augmentation.

• Training: Learn how to effectively train CNNs to achieve optimal results in computer vision tasks.

• Transfer Learning and Fine Tuning: You will use pre-trained networks and adapt them to your task.

• Special architectures: Finally, we provide an overview of special architectures, such as YOLO, which have been developed for specific tasks.

• Practical relevance: You will work on practical problems using real data.

Duration of the course: 2 days

This course combines theoretical knowledge with practical exercises and thus provides a comprehensive introduction to the application of neural networks in computer vision. It is aimed at anyone who would like to expand their knowledge in this area.