Certificate "Image And Video Understanding" (Foundation Level)

The "Image And Video Understanding" certificate certifies practical knowledge of methods for evaluating images and videos.

A person with the "Image And Video Understanding" certificate

• is informed about solution approaches to detection, classification and segmentation tasks,
• can compile a suitable procedure for these tasks from feature engineering and deep learning methods,
• knows advanced deep learning methods of image processing and can apply them to their own problems and adapt them if necessary,
• and knows methods from feature engineering and deep learning to extract information from videos and can combine them appropriately to meet the accuracy and speed requirements of a given task.

Target group

Data scientists and analysts who want to expand their skills in analyzing images and videos Software developers/architects who develop solutions for analytical problems.

• Image analysis: feature design, feature extraction, classification
• When does what help? Expert modeling vs. feature learning with deep learning
• Segmentation of objects with convolutional networks
• Object recognition with deep learning and hybrid methods.
• Image classification with very deep networks and adaptation of pre-trained networks
• Style transfer learning to separate content and representation
• Extraction of generalizing models from a small amount of training data
• Generative networks for creating realistic images
• From image to text – learning from mixed data sources
• Video analysis with recurrent deep architectures
• Specific filters for image processing