Stanford University’s Machine Learning (XCS229) is a 100% online, instructor-led course offered by the Stanford School of ...

Abstract: A fast gradient-descent (FGD) method is proposed for far-field pattern synthesis of large antenna arrays. Compared with conventional gradient-descent (GD) methods for pattern synthesis where ...

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Abstract: Ridge Polynomial neural network have been widely acknowledged for strong nonlinear mapping capability. Nevertheless, conventional training based on integer-order gradient methods often ...

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This file explores the working of various Gradient Descent Algorithms to reach a solution. Algorithms used are: Batch Gradient Descent, Mini Batch Gradient Descent, and Stochastic Gradient Descent ...

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