Webinar

Deep Learning for Image Analysis

May 12, 2020 - Online

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

April 9 KNIME Text Mining with NER Modeling and Deep Learning
April 16 Sharing & Deploying Data Science with KNIME Server
April 21 Working with the RDKit in KNIME Analytics Platform
April 23 Time Series Analysis Workshop
April 28 Text Mining on Biomedical Literature - Today: Topic Modeling
April 30 Guided Labeling: Human-in-the-Loop Label Generation with Active Learning & Weak Supervision
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
FAQ
How do I join the workshop?

You’ll receive a zoom link with your registration confirmation. Make sure you have a stable internet connection!

Will I be able to ask questions?

Yes, we will have a Q&A and we'll do our best to answer these at the end of the workshop.

Where do I find the latest version of KNIME Analytics Platform?

Download the latest free, open source version of knime here: knime.com/download

What other resources will help me to get started in KNIME?