AI with MATLAB: Part 2 – Deep Learning with Signals

In this hands-on workshop, you will learn how to apply various Deep Learning (DL) techniques to biomedical signal data using MATLAB. You will discover tools and fundamental approaches for developing advanced predictive models. We will cover the complete AI pipeline from signal exploration to AI modelling to deployment. You will write code and use MATLAB Online to: annotate time series biomedical signals automatically; apply advanced signal pre-processing techniques for feature extraction; train deep learning models using CNNs and LSTMs; and, discuss interoperability with Python frameworks.