Due to the continued success of machine learning and deep learning in particular, supervised classification problems are ubiquitous in numerous scientific fields. Training these models typically ...

Abstract: In this paper, is used nonlinear programming method to modify the well-known variable gradient method for constructing the Lyapunov function of a system of ordinary differential equations.

Find the minimum point with the gradient descent method by running the main.py file in the main directory of the project. python main.py Observe the results by adjusting the initial value (x_value) ...

Abstract: Motion vector estimation of image sequence is one of the important process in image coding, robot vision etc. A useful method of motion vector estimation in the gradient-based method which ...

In this paper, the optimal control problem of parabolic integro-differential equations is solved by gradient recovery based two-grid finite element method. Piecewise linear functions are used to ...

Find out why backpropagation and gradient descent are key to prediction in machine learning, then get started with training a simple neural network using gradient descent and Java code. Most ...