Deep Learning with Yacine on MSN

Nesterov Accelerated Gradient (NAG) From Scratch in Python – Step-by-Step Tutorial

Dive deep into Nesterov Accelerated Gradient (NAG) and learn how to implement it from scratch in Python. Perfect for improving optimization techniques in machine learning! 💡🔧 #NesterovGradient #Mach ...
Deep Learning with Yacine on MSN

Nadam Optimizer From Scratch in Python – Step-by-Step Tutorial

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

Iterative Learning Control for Closed-Loop Systems with Actuator Saturation using Alternating Projection

Abstract: Iterative learning control (ILC) is typically applied in practice combined with a feedback controller for time-domain stability. In this closed-loop design with actuator constraints, ...

NYT Strands Hints Today: Wednesday, October 1 Spangram, Answers (That’s Got A Ring To It!)

Looking for some help with today's NYT Strands? An extra hint and the answers are right here to help you finish the grid and ...
GitHub

Train multi-step agents for real-world tasks using GRPO.

RULER (Relative Universal LLM-Elicited Rewards) eliminates the need for hand-crafted reward functions by using an LLM-as-judge to automatically score agent trajectories. Simply define your task in the ...