How Neural Networks Learned to Classify | CMU Introduction | 11-785 | L1 | Explainer

From early neuron models and perceptrons to multilayer networks, this explainer traces the concepts behind classification and function approximation. It also connects those foundations to modern deep-learning applications. This is an introductory treatment of ideas presented in January 2026; it does not replace the lecture's mathematical detail or course logistics. ORIGINAL SOURCE Creator: Carnegie Mellon University Deep Learning Title: CMU Introduction to Deep Learning 11785, Spring 2026: Lecture 1 Published: 2026-01-12    • CMU Introduction to Deep Learning 11785, S...   ABOUT SPLAINERS HQ Splainers HQ provides explainers for important discussions happening in the tech world. Independent educational summary; not affiliated with or endorsed by the original creator or speaker. Watch the original for full context. #TechSplainers #DeepLearning #CMU