Browsing: Loss Function

Quantum Boltzmann machines (QBMs) are machine-learning models for both classical and quantum data. These models use the relative entropy as a loss function and…

Loss functions are an essential component of deep learning, used to evaluate how well a specific algorithm models the given data. The goal of…

PINN models are a type of deep neural network that are trained through transductive learning, which uses additional information from unlabeled input data. This…

This article discusses the importance of optimizers in machine learning and deep learning. It explains what optimizers are, and lists some of the famous…