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Conceptual Overview of Backpropagation Algorithm without Calculus
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In this video we present the ideas involved in the backpropagation algorithm used to train modern day neural networks. We avoid calculus and therefore our presentation is mathematically informal. We present an intuitive notion of the derivative and move to the chain rule and sum rule which form the basis of the backprop algorithm.
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