The deep learning model uses this to create a feature set for a cat and builds a predictive model based on this. Initially, it might classify everything with four legs and a tail as a cat.

Say goodbye to hours of tuning hyperparameters! University of Tokyo researchers introduce ADOPT, a groundbreaking optimizer that stabilizes deep learning training across diverse applications ...

Automated methods enable the analysis of PET/CT scans (left) to accurately predict tumor location and size (right). Credit: Nature Machine Intelligence (2024). DOI: 10.1038/s42256-024-00912-9 ...

Patients determined to be high risk by the deep-learning model had an unadjusted odds ratio (OR) for postoperative mortality of 9.17 (95% CI, 5.85-13.82) compared with an unadjusted OR of 2.08 (0. ...

Furthermore, deep learning algorithms trained with optical coherence tomography (OCT) data can detect microstructural damage due to glaucoma and its progression over time.