Deep learning - the utilization of many-layered neural networks - now enables computers to make sense of data that have previously been too complex. An example of such are images, where deep learning based approaches achieve excellent results on many tasks. After a brief introduction to image based deep learning (Convolutional Neural Networks), we’ll show you how to build and apply basic Image Analysis deep learning models in KNIME. Here, you’ll learn about tasks such as classification and segmentation, and we’ll look at an additional, more advanced use case.
This workshop is run by David Kolb & Benjamin Wilhelm (KNIME).
We're keeping the KNIME Community connected throughout April and May by bringing you a series of online events. Find more here:
More online workshops
|May 5||Behind the Scenes of Machine Learning|
|May 7||Building a Drug Discovery Workflow in 8+1 steps with KNIME|
|May 14||KNIME Big Data Workshop|
|May 19||GDPR Compliance through Advanced Anonymization Techniques|
You’ll receive a zoom link with your registration confirmation. Make sure you have a stable internet connection!
Yes, we will have a Q&A and we'll do our best to answer these at the end of the workshop.
Download the latest free, open source version of knime here: knime.com/download