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Backpropagation Explained | Neural Networks #2

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Backpropagation Explained | Neural Networks #2

Welcome to the second video in the Neural Networks series! In this video, we explore backpropagation, the process that allows a neural network to learn by adjusting its weights based on prediction error. We will cover: - The relationship between gradient descent and the chain rule - Forward pass and loss calculation - Why the chain rule is ...

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