Webinar

A Friendly Introduction to Codeless Deep Learning

March 9, 2021 - Online
A friendly introduction to codeless deep learning

Recent deep learning architectures have brought us solutions to previously unsolved problems. Nevertheless for most tools you still need to overcome the coding barrier. The Keras Deep Learning Integration of KNIME Analytics Platform allows you to define and train your deep learning models without any code. So let's get started and make the first steps into the field of deep learning.
 

What are the goals of this webinar?

Deep learning architectures stem from classic neural network architectures. Here you'll get a basic introduction to deep learning and the concepts behind training models and then learn how to build and train a DL model without needing a single line of code.
 

Who is this webinar for?

We welcome anyone interested in deep learning and neural networks to join us! It will be of particular benefit to data analysts, data scientists, and aspiring deep learning developers, who want to take advantage of the codeless KNIME GUI to build, train, test, and deploy neural networks.
 

Who are the speakers?

Join Kathrin Melcher, data scientist at KNIME, and Rosaria Silipo, principal data scientist at KNIME and head of the Evangelism Team, who wrote the book Codeless Deep Learning with KNIME, which is available via Packt Publishing.

 

Want to learn more?

Join the next “Codeless Deep Learning for Sequential Data” webinar on April 20 for a deeper dive into the topic of deep learning.
 

NOTE: This webinar will be held on Tuesday March 9, 2021 at 5 PM - 5:45 PM UTC +1 (Berlin) which is 10 AM - 10:45 AM UTC -6 (Chicago).

FAQ
How do I join the webinar?

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?

Absolutely - fire away!

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?
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