Browsing: Stochastic Gradient Descent

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…

This article discusses the similarities between Stochastic Gradient Descent (SGD) and Metropolis Monte Carlo dynamics, two commonly used algorithms in Machine Learning. The authors…

This article discusses the use of differential privacy in image recognition and how the existing methods for differentially private deep learning need to be…

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