andy
25f73797e3
Affected files: .obsidian/graph.json .obsidian/workspace.json STEM/AI/Neural Networks/Activation Functions.md STEM/AI/Neural Networks/CNN/CNN.md STEM/AI/Neural Networks/CNN/FCN/FCN.md STEM/AI/Neural Networks/CNN/FCN/FlowNet.md STEM/AI/Neural Networks/CNN/FCN/Highway Networks.md STEM/AI/Neural Networks/CNN/FCN/ResNet.md STEM/AI/Neural Networks/CNN/FCN/Skip Connections.md STEM/AI/Neural Networks/CNN/GAN/DC-GAN.md STEM/AI/Neural Networks/CNN/GAN/GAN.md STEM/AI/Neural Networks/CNN/UpConv.md STEM/img/highway-vs-residual.png STEM/img/imagenet-error.png STEM/img/resnet-arch.png STEM/img/resnet-arch2.png STEM/img/skip-connections 1.png STEM/img/upconv-matrix-result.png STEM/img/upconv-matrix-transposed-result.png STEM/img/upconv-matrix.png STEM/img/upconv-transposed-matrix.png STEM/img/upconv.png
29 lines
747 B
Markdown
29 lines
747 B
Markdown
- Residual networks
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- 152 layers
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- Skips every two layers
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- Residual block
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- Later layers learning the identity function
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- Skips help
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- Deep network should be at least as good as shallower one by allowing some layers to do very little
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- Vanishing gradient
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- Allows shortcut paths for gradients
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- Accuracy saturation
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- Adding more layers to suitably deep network increases training error
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# Design
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- Skips across pairs of [[Convolutional Layer|conv layers]]
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- Elementwise addition
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- All layer 3x3 kernel
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- Spatial size halves each layer
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- Filters doubles each layer
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- [[FCN|Fully convolutional]]
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- No fc layer
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- No [[Max Pooling|pooling]]
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- Except at end
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- No dropout
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![[imagenet-error.png]]
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![[resnet-arch.png]]
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![[resnet-arch2.png]] |