[L4-DL] Introduction to Neural Networks and Deep Learning

March 30, 2020 - Berlin

Throughout the past decade, the use of deep learning methods is constantly rising. Many more applications in fields like image, sound and video processing, natural language processing, time series analysis, and unstructured data are based on deep learning methods. In this course, we offer the chance to learn more about neural networks in general as well as specific deep learning units. We will start by implementing a feed-forward neural network architecture and training it with the backpropagation algorithm. We will continue to explore more recent advances in the field, such as LSTM and GRU units for sequence analysis and Convolutional Neural Networks for image processing.

Other Courses

What level of KNIME experience is needed for this course?

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.

What do I need to bring?

Your own laptop, ideally pre-installed with the latest version of KNIME Analytics Platform, which you can download at

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

Download the latest free, open source version of knime here:

What other resources are available to help me?