IEEE

Adaptive Friction in Deep Learning: Enhancing Optimizers with Sigmoid and Tanh Function

Abstract: Adaptive optimizers are pivotal in guiding the weight updates of deep neural networks, yet they often face challenges such as poor generalization and oscillation issues. To counter these, we ...
Santa Clara University

HPC Machine Learning Tutorial

This tutorial is an adaptation of the NumPy Tutorial from Tensorflow.org. To run this tutorial, I assume you already have access to the WAVE HPC with a user account and the ability to open a terminal ...
IEEE

A Nonlinear Sine Cosine Algorithm Approach to Designing a One-Degree-of-Freedom Sigmoid PID Controller for Automatic Voltage Regulators

Abstract: This paper presents a robust one-degree-offreedom (1-DoF) Sigmoid-based Proportional-IntegralDerivative (SPID) controller optimized using the Nonlinear Sine Cosine Algorithm (NSCA) for an ...