Recent deep learning architectures have brought us solutions to previously unsolved problems. Nevertheless, for most tools, you still need to overcome the coding barrier.

In the first part of this webinar, you will learn about the main concepts behind deep learning: from the artificial neuron to back-propagation. In the second part, you will get a basic introduction to Convolutional Neural Networks and their application in Computer Vision.

Together, we will build a simple neural network in the KNIME Analytics Platform to solve a classification task. This example relies on the KNIME Deep Learning – Keras Integration, which allows you to define, train and deploy your deep learning models in a fully codeless fashion.