• Introduction to Predictive Cod...

Result: Introduction to Predictive Coding Networks for Machine Learning

Title:
Introduction to Predictive Coding Networks for Machine Learning
Authors:
Stenlund, Mikko
Publication Year:
2025
Collection:
Computer Science
Subject Terms:
Computer Science - Neural and Evolutionary Computing, Computer Science - Artificial Intelligence, Computer Science - Machine Learning
Document Type:
Report Working Paper
Access URL:
http://arxiv.org/abs/2506.06332
Accession Number:
edsarx.2506.06332
Database:
arXiv

Further Information

Predictive coding networks (PCNs) constitute a biologically inspired framework for understanding hierarchical computation in the brain, and offer an alternative to traditional feedforward neural networks in ML. This note serves as a quick, onboarding introduction to PCNs for machine learning practitioners. We cover the foundational network architecture, inference and learning update rules, and algorithmic implementation. A concrete image-classification task (CIFAR-10) is provided as a benchmark-smashing application, together with an accompanying Python notebook containing the PyTorch implementation.
Comment: 22 pages