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Linear regression using gradient descent explained simply

Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient ...
IEEE

Brain Tumor Detection using Optimized Stochastic Gradient Descent Function

Abstract: The learning rate of a CNN determines the efficiency of the neural network. In brain tumor detection, the learning rate and the optimization function plays a key role in deciding the final ...
C&EN

From the Electron Density Gradient to the Quantitative Reactivity Indicators: Local Softness and the Fukui Function

You are free to share (copy and redistribute) this article in any medium or format within the parameters below: Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must ...
IEEE

Gradient-based Optimization Algorithm for Hybrid Loss Function in Low-dose CT Denoising

Abstract: Deep learning techniques have emerged in de-noising low-dose computed tomography (CT) images to avoid the potential health risks of high ionizing radiation dose on patients. Although these ...
GitHub

Whiplash Gradient Descent and the Analysis of Closed Loop Gradient Descent

Bhattacharjee, S. S. and Petersen, I. R., Analysis of the Whiplash gradient descent dynamics, Asian J. Control (2023), 1–14, DOI 10.1002/asjc.3153. This file contains live MATLAB projects and Simulink ...