Diane Khambu·Aug 31Neural Network to Recognize MNIST (handwritten digits) datasetThis book by Michael Nielsen was the top result when I searched for neural network implementation using MNIST dataset. Once I started…
InThe Thoughtful EngineerbyKobi Toueg·Aug 10AI/ML Under the Hood — Part 25: Forward Propagation and Backpropagation by HandFollowing One Training Sample Through Every Step of a Neural Network
Pallabi S Roy·Jun 5Machine Learning With Manya: The Great Toy Shop Whisper GameHow Manya and Pallabi used a playground secret called the Chain Rule to fix a robot’s mistakes backward!
Dharmendra Pratap Singh·Jan 21Part-1: Python for PyTorch and Math for Deep Learning1. Python Execution Model (Why PyTorch Feels “Dynamic”)
Helen K Joy·Jan 15The Core Concept of BackpropagationAt its heart, backpropagation is about fixing mistakes in a neural network.A response icon3A response icon3
Mandar Panse·Jan 8Why Deep Learning Goes Backwards: A Guide to BackpropagationIn the world of artificial intelligence, backpropagation is the algorithm that powers modern deep learning. If you have ever wondered why…
InOrdinary AIbySusan Apfel·Dec 31, 2025Backpropagation as Two Simple Mathematical IdeasBackpropagation is often described as a complex learning algorithm, but at its core it is built from just two familiar mathematical ideas:
Pawankumar Navinchandra·Oct 22, 2025D.L. Ch 2.3 — Derivatives & Chain RuleHow Tiny Changes Drive Big Learning
AmeerSaleem·Sep 7, 2025What is backpropagation?Gradient descent, partial derivatives and the chain rule. Get your pen and paper at the ready! And maybe a few different colours too…
