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 ...
These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.
Abstract: This article proposes a hierarchical neural learning (HNL) algorithm for optimal tracking control (OTC) of nonlinear strict-feedback systems (SFSs) with unmatched disturbances (uMDs) and ...
Abstract: Salient object detection in optical remote sensing images (ORSI-SOD) is challenging due to complex backgrounds and subtle boundary cues. While prior methods often introduce edge-guided ...
Learn how gradient descent really works by building it step by step in Python. No libraries, no shortcuts—just pure math and ...
A 12-week program equipping 50 Palestinian graduates with advanced data science skills, practical experience, and pathways to global employment. FORT WORTH, TX / ACCESS Newswire / January 8, 2026 / ...
Official implementation of our CleanPose, the first solution to mitigate the confoundering effect in category-level pose estimation via causal learning and knowledge distillation. You can generate the ...