Interactively Design Networks with a Low-Code App

Learn how to design deep learning models interactively using the Deep Network Designer app. This demonstration walks through a low-code workflow for building networks from scratch, starting with a template, or importing pretrained models from platforms such as PyTorch^®.

You will learn how to customize layers, adjust network properties, and analyze imported models to ensure they are ready to use. Once your design is complete, you can export the network to your MATLAB^® or Simulink^® workspace or generate MATLAB code for further development. You’ll also learn about other interactive AI apps in MATLAB that support data preprocessing, model tuning, and experiment tracking.