Calculus on Computational Graphs: Backpropagation -- colah's blog

Calculus on Computational Graphs: Backpropagation -- colah's blog

Introduction Backpropagation is the key algorithm that makes training deep models computationally...概要を表示 Introduction Backpropagation is the key algorithm that makes training deep models computationally tractable. For modern neural networks, it can make training with gradient descent as much as ten million times faster, relative to a naive implementation. That’s the difference between a model taking a week to train and taking 200,000 years. Beyond its use in deep learning, backpropagation is a powerf

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