andy
7bc4dffd8b
Affected files: STEM/AI/Neural Networks/CNN/Examples.md STEM/AI/Neural Networks/CNN/FCN/FCN.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/Interpretation.md STEM/AI/Neural Networks/CNN/UpConv.md STEM/AI/Neural Networks/Deep Learning.md STEM/AI/Neural Networks/MLP/MLP.md STEM/AI/Neural Networks/Properties+Capabilities.md STEM/AI/Neural Networks/SLP/Least Mean Square.md STEM/AI/Neural Networks/SLP/SLP.md STEM/AI/Neural Networks/Transformers/Transformers.md STEM/AI/Properties.md STEM/CS/Language Binding.md STEM/CS/Languages/dotNet.md STEM/Signal Proc/Image/Image Processing.md
897 B
897 B
- Residual networks
- 152 layers
- Skips every two layers
- Residual block
- Later layers learning the identity function
- Skips help
- Deep network should be at least as good as shallower one by allowing some layers to do very little
- Vanishing gradient
- Allows shortcut paths for gradients
- Accuracy saturation
- Adding more layers to suitably deep network increases training error
Design
- Skips across pairs of conv layers
- Elementwise addition
- All layer 3x3 kernel
- Spatial size halves each layer
- Filters doubles each layer
- Fully convolutional
- No fc layer
- No pooling
- Except at end
- No dropout
ImageNet Error:
