This repository contains a neural network implementation using reverse-mode automatic differentiation. This technique efficiently computes gradients and is commonly used in backpropagation.
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This repository contains a neural network implementation using reverse-mode automatic differentiation. This technique efficiently computes gradients and is commonly used in backpropagation. Our well-documented code makes it easy to learn about neural networks and reverse-mode autodiff.
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EduPaolo/nn_rm
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This repository contains a neural network implementation using reverse-mode automatic differentiation. This technique efficiently computes gradients and is commonly used in backpropagation. Our well-documented code makes it easy to learn about neural networks and reverse-mode autodiff.
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