ResNet deep reading
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ResNet: Residuals Make Depth Trainable, but ImageNet 2015 Is Not a Ready-Made Detection or ViT Contract
Intermediate Build the foundations firstA source-grounded reading of He et al., CVPR 2016 / arXiv:1512.03385: identity shortcuts let stacked layers learn residual F(x)+x and fix plain-net degradation. ResNet-152 reaches 4.49% top-5 validation error on ImageNet; this is 2015 classification evidence, not a YOLO, ViT, or modern ConvNet leaderboard contract.
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