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How Do GPUs Accelerate Backpropagation?
Training neural networks requires significant computational effort, especially when working with large datasets and deep architectures. The backpropagation algorithm, which adjusts the weights of the network based on error signals, is often the most time-consuming part of this process. Graphical Processing Units (GPUs) have become instrumental in speeding up this task. This article explores how GPUs enhance backpropagation performance and why they are a critical component of modern machine learning workflows.
Written byJessy Chan
Published onSeptember 2, 2025
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