Computer VisionCNNResNetDeep Learning

Deep Residual Learning for Image Recognition

15 min read
Authors:Kaiming He,Xiangyu Zhang,Shaoqing Ren,Jian Sun

Analysis of the groundbreaking ResNet architecture that enabled training of ultra-deep neural networks.

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Paper Overview

The paper introduces the ResNet architecture, which has become the foundation of modern computer vision. It completely eliminates recurrence and convolutions, relying entirely on attention mechanisms to draw global dependencies between input and output.

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