A reproduction of Learning Efficient Convolutional Networks through Network Slimming
-
Updated
Jun 25, 2020 - Python
A reproduction of Learning Efficient Convolutional Networks through Network Slimming
Implementation of Convex Optimization algorithms
Implementation and brief comparison of different First Order and different Proximal gradient methods, comparison of their convergence rates
Convex Optimization Algorithms
Dual-Based Procedure and Subgradient method implementations
Add a description, image, and links to the subgradient topic page so that developers can more easily learn about it.
To associate your repository with the subgradient topic, visit your repo's landing page and select "manage topics."