Learn how to implement the Adadelta optimization algorithm from scratch in Python. This tutorial explains the math behind ...

Learn how to implement the Nadam optimizer from scratch in Python. This tutorial walks you through the math behind Nadam, ...

Abstract: This article proposes an improved deep reinforcement learning algorithm for complete coverage path planning of mobile robots. The algorithm addresses the issue of agents easily getting ...

Created this repository. 🔜 Working on Stage 1: Python & NumPy Refresh. First output: Data exploration with Pandas/Matplotlib. 🔜 Next: Implement Linear Regression with NumPy.

1 Department of Engineering, University of Naples Parthenope, Naples, Italy 2 Department of Economics, Law, Cybersecurity and Sports Sciences (DiSEGIM), University of Naples Parthenope, Naples, Italy ...

Background: Diabetic retinopathy (DR) screening faces critical challenges in early detection due to its asymptomatic onset and the limitations of conventional prediction models. While existing studies ...

Ms. Hochschild, a sociologist, spent seven years getting to know people in eastern Kentucky for her most recent book, “Stolen Pride.” “We’re losing our best and brightest,” Roger Ford, the 58-year-old ...

Researchers have successfully employed an algorithm to identify potential mutations which increase disease risk in the noncoding regions our DNA, which make up the vast majority of the human genome.