Participants will engage in a 2-hour workshop to learn how to apply deep learning techniques for processing optical remote sensing (RS) data. The workshop will introduce the fundamentals of deep learning, guiding participants through the creation of deep learning models from scratch. It will also cover the use of pre-trained models for image classification with PyTorch Image Models (TIMM) and image segmentation with Segmentation Models PyTorch (SMP). Additionally, attendees will learn to develop a custom data loader to train or fine-tune deep learning models using their own datasets. The workshop will be conducted on the free Google Colab platform, and participants will also learn how to execute models on a local GPU server using Visual Studio Code. All code and data will be provided to attendees.
Attendees will need a laptop to particpate in this workshop.
Cost: $195
