Gradient descent is an optimization algorithm used to minimize the cost or loss function in machine learning models by iteratively adjusting the model's parameters.

Machine learning sees into the future to prevent sight loss in humans Date: December 16, 2023 Source: Tokyo Medical and Dental University Summary: Researchers developed machine-learning models to ...

Novel Machine Learning Techniques Measure Ocean Oxygen Loss More Accurately Georgia Tech researchers introduced a groundbreaking machine learning technique to improve the assessment and analysis of ...

The Dice loss function is widely used to train deep learning algorithms in medical segmentation tasks. However, in multi-class segmentation tasks, the Dice loss function can result in imbalanced ...

Children’s Hospital Los Angeles Leads Development of First Machine Learning Tool to Predict Risk of Cisplatin-Induced Hearing Loss ...

About the study In the present study, researchers used a murine model of RC injury to develop a machine learning (ML) pipeline for quantifying motion quality related to shoulder function.