In order to understand currents, tides and other ocean dynamics, scientists need to accurately capture sea surface height, or ...

Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient Descent is an algorithm we use to minimize the cost function value, so as to ...

Mini Batch Gradient Descent is an algorithm that helps to speed up learning while dealing with a large dataset. Instead of updating the weight parameters after assessing the entire dataset, Mini Batch ...

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 ...

For many, having a Christmas tree (typically a pine or fir tree) in the living room is a beloved holiday tradition, and the tradition may serve not only a spiritual role but also a health benefit. A ...

Abstract: In this paper, we study asymptotic behaviors of continuous-time and discrete-time gradient flows of a “lower-unbounded” convex function on a Hadamard manifold, particularly, their ...

From a scientific perspective, getting a car moving from Point A to Point B is all about physics and energy transfer. How do you turn the up and down reciprocating motion of an engine's pistons into ...