Deep Learning with Yacine on MSN

Learn backpropagation derivation step by step – neural networks made easy

Master the derivation of backpropagation with a clear, step-by-step explanation! Understand how neural networks compute ...
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, ...
IEEE

Outlier-Aware Recursive Instantaneous Minimum Error Entropy Algorithm

Abstract: The minimum error entropy (MEE) criterion closely relies on the quadratic information potential (QIP) estimates of Renyi’s entropy. Nevertheless, the ...
IEEE

A Data-Reuse Regularized Recursive Least-Squares Adaptive Filtering Algorithm

Abstract: The recursive least-squares (RLS) algorithm is very popular for adaptive filtering applications, mainly due to its fast convergence rate. The regularized version of this algorithm owns ...