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Mini Batch Gradient Descent | Deep Learning | with Stochastic Gradient Descent

Mini Batch Gradient Descent is an algorithm that helps to speed up learning while dealing with a large dataset. Instead of updating the weight parameters after assessing the entire dataset, Mini Batch ...
Nature

Convergence analysis and application for high-order neural networks based on gradient descent learning algorithm via smooth regularization

Higher order networks (HONs) extend the traditional pairwise interactions between nodes to higher order interactions involving three or more nodes. This allows for the modeling of more complex ...
Nature

A dual enhanced stochastic gradient descent method with dynamic momentum and step size adaptation for improved optimization performance

In modern machine learning, optimization algorithms are crucial; they steer the training process by skillfully navigating through complex, high-dimensional loss landscapes. Among these, stochastic ...