Deep Learning with Yacine on MSN

Adam Optimization From Scratch in Python – Step-by-Step Guide

Learn how to implement the Adam optimization algorithm from scratch in Python! This step-by-step guide breaks down the math, coding process, and practical examples to help you understand one of the ...
Business Wire

Gurobi Releases OptiMods, An Open-Source Python Repository of Optimization Use Cases

BEAVERTON, Ore.--(BUSINESS WIRE)--Gurobi Optimization, LLC, the leader in decision intelligence technology, today announced the release of OptiMods, an open-source project that provides Python users ...
Visual Studio Magazine

Simulated Annealing Optimization Using C# or Python

The goal of a combinatorial optimization problem is to find the best ordering of a set of discrete items. A classic combinatorial optimization challenge is the Traveling Salesman Problem (TSP). The ...
Deep Learning with Yacine on MSN

Group Relative Policy Optimization (GRPO) Explained – Formula and PyTorch Implementation

Discover how Group Relative Policy Optimization (GRPO) works with a clear breakdown of the core formula and working Python ...
InfoQ

OpenAI Releases Triton, Python-Based Programming Language for AI Workload Optimization

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. This article dives into the happens-before ...
USA Today

Leveraging the Power of Python Logging for Optimization of Workflows

Python logging is one of the most effective tools for streamlining and optimizing workflows. Logging is the process of tracking and recording events that occur in a given system, such as errors, ...
Visual Studio Magazine

Simulated Annealing Optimization Using C# or Python

Dr. James McCaffrey of Microsoft Research shows how to implement simulated annealing for the Traveling Salesman Problem (find the best ordering of a set of discrete items). The goal of a combinatorial ...