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 ...
Deep Learning with Yacine on MSN

Nadam optimizer explained: Python tutorial for beginners & pros

Learn how to implement the Nadam optimizer from scratch in Python. This tutorial walks you through the math behind Nadam, ...

Vibrant’s New Title Empowers Emerging Developers With the Foundations of Efficient, Real-World Programming

Author Shawn Peters blends clarity and rigor to make data structures and algorithms accessible to all learners. COLORADO, CO, UNITED STATES, January 2, 2026 /EINPresswire.com/ — Vibrant Publishers ...
Microsoft

Hashing Algorithms for Large-Scale Learning

Minwise hashing is a standard technique in the context of search for efficiently computing set similarities. The recent development of b-bit minwise hashing provides a substantial improvement by ...
IEEE

Deep Semantic-Consistent Penalizing Hashing for Cross-Modal Retrieval

Abstract: Benefiting from the advantages of low storage cost and high retrieval efficiency, hash learning could significantly speed up large-scale cross-modal retrieval. Based on the prior annotations ...
IEEE

Revisit Weakly Supervised Hashing With Deep Multi-Modal Foundation Models

Abstract: Vision-Language Pretraining (VLP) has developed a series of fancy foundation models, which continuously advance the state-of-the-art on various multimodal tasks. However, there has been ...