This repository demonstrates the implementation of the Backpropagation algorithm for training Artificial Neural Networks (ANNs). It covers the theoretical foundation, step-by-step implementation using ...

2-Stage Backpropagation is an advanced technique for training neural networks that aims to improve convergence and generalization. It involves splitting the network into two parts and training them ...

Build your own backpropagation algorithm from scratch using Python — perfect for hands-on learners!

This tutorial paper surveys provably optimal alternatives to end-to-end backpropagation (E2EBP) — the de facto standard for training deep architectures. Modular training refers to strictly local ...

Learn how to implement backpropagation using automatic differentiation from the ground up in Python—no libraries, just pure logic and math!