Abstract: This paper presents a digital low-dropout regulator (DLDO) architecture employing the improved successive approximation logic algorithm as its control strategy. The algorithm is combined ...
Deep Learning with Yacine on MSN
Build k-nearest neighbors from scratch in Python – step by step tutorial
Learn how to implement the K-Nearest Neighbors (KNN) algorithm from scratch in Python! This tutorial covers the theory, ...
Deep Learning with Yacine on MSN
Adadelta optimizer explained – Python tutorial for beginners & pros
Learn how to implement the Adadelta optimization algorithm from scratch in Python. This tutorial explains the math behind ...
Minimax approximations have found many applications but are lack of efficient solution algorithms for large-scale problems. Based on the alternating direction method of multipliers (ADMM) for convex ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback