What is Backpropagation? | The "Blame Game" of Deep Learning In Hindi | Chapter 3
Автор: Neural Nexus
Загружено: 2026-02-01
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We have built the Neural Network. We have defined the Cost Function. Now, how do we actually fix the errors? Enter Backpropagation—the engine that powers the "Deep" in Deep Learning.
In this third episode of Neural Nexus, we tackle the most important algorithm in AI history. If Gradient Descent is the strategy to walk down the hill, Backpropagation is the map that tells us which way is down.
In this video, we simplify the math:
The Blame Game: How the network looks at a wrong answer (like mistaking a "3" for a "7") and works backward to find out exactly which neuron caused the mess.
The Chain Rule: A headache-free explanation of the calculus that links all the layers together.
Feature Hierarchy: Watch how hidden layers automatically organize themselves—learning edges first, then loops, and finally complex patterns.
Deep vs. Shallow: Why adding more layers makes the network exponentially smarter.
This is the final piece of the puzzle. Once you understand this, you understand the core mechanics of modern AI.
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#Backpropagation #DeepLearning #ChainRule #NeuralNetworks #AIHindi #MachineLearning #MathForAI #NeuralNexus #artificialintelligence
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