This workshop will introduce participants to applying deep learning techniques for processing optical remote sensing data, covering the fundamentals of deep learning, building models from scratch, and leveraging pre-trained models for image classification with PyTorch Image Models (TIMM) and image segmentation with Segmentation Models PyTorch (SMP). Attendees will also learn how to create custom data loaders to train or fine-tune models on their own datasets, work on the free Google Colab platform, and set up a local deep learning environment. All code and datasets will be provided to ensure participants can continue practicing beyond the session.
This workshop is not automatically included with any registration. It can be added on through the general registration process.
Registration Add-On Cost: $215
