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Ever wonder how a machine goes from being completely clueless to driving a car or picking your next favorite movie? It’s not magic—it’s a logical process of learning from mistakes. In this video, we pull back the curtain on the core logic behind Artificial Intelligence. We break down complex technical terms into a simple story: an AI learning just like a student in a classroom. What you’ll learn in this video: The Digital Brain: What is a Neural Network (Multi-Layer Perceptron) and how is it structured? [00:31] The Forward Pass: Why the AI’s first "guess" is almost always laughably wrong [01:48]. Measuring Mistakes: Understanding "Loss" or "Error" as the grade on a test [02:40]. Backpropagation: How the AI reviews its mistakes to assign blame to the right connections [03:07]. Gradient Descent: The "Study Plan" that nudges the AI in the right direction [03:48]. The Learning Loop: How thousands of repetitions turn a blank slate into a genius [04:45]. Key Terms Simplified: Epochs, Batches, and Iterations [05:16]. AI isn't some abstract theory—it's the engine running your phone, your streaming services, and the breakthroughs of tomorrow. Subscribe to Enhance Smart Skills for more simplified explainers on the tech that's changing the world! #AI #MachineLearning #HowAIWorks #Backpropagation #GradientDescent #NeuralNetworks #TechExplained #EnhanceSmartSkills