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Articles tagged: algebra
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Manual Predictions & Backpropagation in a 2–2–1 Neural Network (Sigmoid + MSE)
A full, step-by-step walkthrough that computes a 2–2–1 neural network by hand: forward pass, MSE loss, formal objective, dependency map, backpropagation derivations, and one complete weight update—ready-to-learn math with concrete numbers.
neural networks machine learning backpropagation algebra calculus deep learning tutorialOctober 6, 2025
The Foundations of a Digital Mind: How Neural Networks Actually Work
From basic algebra to the calculus of learning, this in-depth guide demystifies neural networks. Using a simple, step-by-step example, we'll explore the core concepts of linear algebra, statistics, and backpropagation that allow machines to learn.
neural networks machine learning data science algebra statistics backpropagation deep learningSeptember 20, 2025