How Do Neural Networks Learn?

How do neural networks actually learn? In this video, we build intuition for neural networks from the ground up—starting from a simple artificial neuron and scaling up to modern architectures used in computer vision and AI. Chapters: 0:00 Welcome 0:33 Let's Make a Neuron 2:37 Neural Network (MLP) 5:15 Training-Validation-Test Set 7:40 Cross-Validation 9:37 Backpropagation 17:48 Neural Networks in Self-Driving 19:42 Autograd and Gradient Descent 24:10 Stochastic Gradient Descent 25:10 Overview of Training 31:52 Convolution Neural Networks (CNNs) 34:48 Activation Functions 35:25 Hyperparameters 36:26 What do networks see? 37:33 Regression 38:20 Regression Examples 41:56 Understanding Check We’ll cover: ✅ What a neural network really is and how artificial neurons work ✅ How networks are trained using gradient descent ✅ The intuition behind backpropagation and how errors flow backward through the network ✅ The difference between regression and classification tasks ✅ Why Convolutional Neural Networks (CNNs) are powerful for images ✅ Practical examples showing how neural networks solve real-world problems Rather than just presenting formulas, this video focuses on building intuition—connecting the math, geometry, and learning process behind neural networks. By the end, you’ll understand how models adjust millions of parameters to learn patterns from data. This lecture is part of Embodied AI Demystified with Prof. Nitin, where we break down core ideas behind perception, robotics, and AI—from classical methods to modern deep learning. Whether you're new to robotics or an AI enthusiast, this video will give you a clear and fun introduction to the world of robots! 🔔 Subscribe for demystifying and deeper dives into perception, computer vision, AI, and robotics! 👍 Like this video if you enjoy learning about intelligent machines! 📩 Have questions? Drop them in the comments! #robotics #ai #computervision #automation #WhatIsARobot #technology #innovation #sensing #autonomy #artificialintelligence #embodiedintelligence #robot #deeplearning #neuralnetworks #backpropagation #CNN #machinelearning #AI #classification #regression #embodiedai