Deep Learning with Yacine on MSN

Backpropagation from scratch in Python – step by step neural network tutorial

Learn how backpropagation works by building it from scratch in Python! This tutorial explains the math, logic, and coding behind training a neural network, helping you truly understand how deep ...
NPR

Politics

January 18, 2026 • The Episcopal bishop of New Hampshire told priests protesting ICE to get their wills and affairs in order. Some praise the bishop, while other priests say they never signed up to be ...
GitHub

Getting started with Ollama for Python

So far, running LLMs has required a large amount of computing resources, mainly GPUs. Running locally, a simple prompt with a typical LLM takes on an average Mac ...
GitHub

tirthajyoti/Machine-Learning-with-Python

Jupyter notebooks covering a wide range of functions and operations on the topics of NumPy, Pandans, Seaborn, Matplotlib etc. Decision trees and Random Forest Classification (Here is the Notebook) ...
ISA

ISA Standards and Publications

Automation standards from ISA—a global leader in industry-developed, consensus standards for more than six decades—serve as best-practice guidelines that direct proper system design, implementation, ...
IEEE

Distributed Optimization Methods for Multi-Robot Systems: Part 1—A Tutorial [Tutorial]

Abstract: Distributed optimization provides a framework for deriving distributed algorithms for a variety of multi-robot problems. This tutorial constitutes the first part of a two-part series on ...
IEEE

Robust Explainability: A tutorial on gradient-based attribution methods for deep neural networks

Abstract: The rise in deep neural networks (DNNs) has led to increased interest in explaining their predictions. While many methods for this exist, there is currently no consensus on how to evaluate ...