This course will provide you with the basic orientation in the world of deep learning and the skills to assemble, train, and apply different deep learning modules. Furthermore, this course will also introduce you to cutting edge models in artificial intelligence (AI) such as transformers and large language models (LLMs).
The course starts out with fundamentals on building blocks of artificial neural network models, with a number of hands-on examples. Codeless approaches are highlighted with an integration of the Keras libraries with KNIME Analytics Platform. This is followed by applications of deep learning models in image processing with convolutional neural networks (CNN). Finally the course concludes with a survey of AI models for text data, from recurrent neural networks (RNN) to LLMs.
This is an instructor-led course consisting of four, 75 minute online sessions run by two KNIME data scientists. Each session has an exercise for you to complete at home. The course concludes with a 15- to 30-minute wrap up session.
Note: Currently on Apple computers with the Apple Silicon Chips (M1, M2,…), KNIME extensions for deep learning do not work.
- Session 1: Classic Neural Networks and KNIME Deep Learning Extensions
- Session 2: Deep Learning Case Studies and Different Design Components
- Session 3: Convolutional Neural Networks
- Session 4: Sequential Data, Transformers, Large Language Models
- Session 5: Wrap Up and Q&A
FAQ
You first need to create an account on the KNIME Learning Store. After you log on to the KNIME Learning Store, clicking on the “Register now” button will take you to the course web page.
You can join the course using the Zoom links found in your LearnUpon course page. You will also receive an email with the Zoom link one day prior to each session. Please note that each Zoom link is specific to a particular session. Make sure you have a stable internet connection!
Sure! The sessions will be recorded and you’ll have access to each one for one month from the time the session is over.
You must be competent in using KNIME Analytics Platform. We strongly recommend you be at the level of an advanced KNIME user - for example you’ve taken a basic and advanced KNIME Analytics Platform Course and/or use KNIME on a regular basis.
Your own laptop, ideally pre-installed with the latest version of KNIME Analytics Platform, which can be downloaded here: knime.com/downloads
Download the latest free, open-source version of KNIME Analytics Platform here: knime.com/download
E-Learning, KNIME Books, Cheat Sheets, Forum.
Although our course materials are based on KNIME Analytics Platform Version 5, you can still learn different concepts and associated nodes introduced in this course. Please note that some nodes introduced in Version 5 may not be available in Version 4.
Check out our Self-paced courses, KNIME Books, Cheat Sheets, KNIME Forum, and KNIME Hub