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 ...

IIT Madras Opens Admissions For 2nd Batch Of Applied AI & Deep Learning Programme

IITM Pravartak Technologies Foundation has announced admissions for the second batch of its Advanced Certificate in Applied ...
IEEE

Self-Supervised Representation Distribution Learning for Reliable Data Augmentation in Histopathology WSI Classification

Abstract: Multiple instance learning (MIL) based whole slide image (WSI) classification is often carried out on the representations of patches extracted from WSI with a pre-trained patch encoder. The ...

Hanchen Su Contributes to Advancing LLM-Friendly Knowledge Representation for Customer Support Automation

A new framework restructures enterprise workflows into LLM-friendly knowledge representations to improve customer support automation. By ...

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 ...
IEEE

Fuzzy Rule-Based Differentiable Representation Learning

Abstract: Representation learning is a key area in machine learning and deep learning, focusing on extracting meaningful features to support downstream tasks such as classification and clustering.