Deep Learning with Yacine on MSN

Backpropagation from scratch in Python – step by step neural network tutorial

Learn how backpropagation works by building it from scratch in Python! This tutorial explains the math, logic, and coding behind training a neural network, helping you truly understand how deep ...

Even Linus Torvalds is trying his hand at vibe coding (but just a little)

Linux and Git creator Linus Torvalds’ latest project contains code that was “basically written by vibe coding,” but you ...
Deep Learning with Yacine on MSN

RMSProp optimization from scratch in Python

Understand and implement the RMSProp optimization algorithm in Python. Essential for training deep neural networks ...
GitHub

DiskANN in Rust

DiskANN is a suite of scalable, accurate, cost-effective approximate nearest neighbor (ANN) search algorithms for large-scale vector search. It uses a graph-based index (Vamana) to manage very large ...
IEEE

Nearest Kronecker Product Decomposition Based Subband Adaptive Filter: Algorithms and Applications

Abstract: Recently, the nearest Kronecker product (NKP) decomposition-based normalized least mean square (NLMS NKP) algorithm has demonstrated superior convergence performance compared to the ...
IEEE

Optimizing K-Nearest Neighbor Values Using The Elbow Method

Abstract: Optimizing the K value in the K-Nearest Neighbor (KNN) algorithm is a critical step in enhancing model performance, particularly for tasks related to classification and prediction. The Elbow ...