Automating Custom Loss Functions in Deep Learning
Designing and training deep learning models often requires advanced expertise, particularly when defining loss functions, optimizers, and model architectures. This work explored how large language models could lower those barriers by automating the creation of custom loss functions tailored to specific optimization goals. The capstone was presented at the Graduate Poster Exhibition during the 2025… continue reading
