Learn With Jay on MSN

Linear regression gradient descent explained simply

Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient ...
Learn With Jay on MSN

Logistic regression power explained using one derivative

Understanding the derivative of the cost function is key to mastering logistic regression. Learn how gradient descent updates ...
Scientific Research Publishing

Vitthal, R., Sunthar, P. and Durgaprasada Rao, C. (1995) The Generalized Proportional-Integral-Derivative (PID) Gradient Descent Back Propagation Algorithm.

ABSTRACT: Faced with the recurring collapses of residential buildings affecting the civil engineering sector in Côte d’Ivoire, this study aims to evaluate and compare the performance of 42.5R strength ...
Frontiers

Numerical optimization of large-scale monotone equations using the free-derivative spectral conjugate gradient method

This study introduced an efficient method for solving non-linear equations. Our approach enhances the traditional spectral conjugate gradient parameter, resulting in significant improvements in the ...
IEEE

Handling Vanishing Gradient Problem Using Artificial Derivative

Abstract: Sigmoid function and ReLU are commonly used activation functions in neural networks (NN). However, sigmoid function is vulnerable to the vanishing gradient problem, while ReLU has a special ...
thetechedvocate.org

How to calculate gradient

Gradient, also known as slope, is a key concept in mathematics, and it is used to measure the steepness of a curve or straight line. In this article, we will explore the fundamental principles of ...