PyTorch optimizer based on nonlinear conjugate gradient method
-
Updated
May 1, 2024 - Python
PyTorch optimizer based on nonlinear conjugate gradient method
Comparison of Gradient Descent and Block Coordinate Gradient Descent methods through a semi supervised learning problem.
Bespoke, from scratch, implementation of Armijo-Wolfe inexact line search technique to find step length for gradient descent optimisation. The library alternative is scipy.optimize.line_search
Add a description, image, and links to the armijo topic page so that developers can more easily learn about it.
To associate your repository with the armijo topic, visit your repo's landing page and select "manage topics."