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Rate of Change Explained in 2 Minutes!
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AI • Machine Learning • Tech on Instagram: "The chain rule explains how gradients from multiple steps combine into one overall rate of change. When one operation feeds into another, the total effect is found by multiplying how sensitive each step is to its input. For example, if one step doubles a value and the next step quadruples it, the combined effect is an eightfold change. In neural networks, this idea lets us break a complex computation into simple parts, compute how each part changes the
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