How Neural Networks Learn | Introduction to Deep Learning | MIT 6.S191 | L1 Explainer

An introduction to perceptrons, multilayer networks, loss functions, gradient descent, backpropagation, and overfitting. This independent course summary condenses a 2026 lecture. The original contains the full explanations, examples, and qualifications. ORIGINAL SOURCE Creator: Alexander Amini Title: MIT Introduction to Deep Learning | 6.S191 Published: 2026-03-30    • MIT Introduction to Deep Learning | 6.S191   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 #AI #DeepLearning