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
728 B
728 B
Fully Convolutional
- Remove Max Pooling
- Use strided upconv
- Remove MLP layers
- Hurts convergence in non-classification
- Normalisation tricks
- Batch normalisation
- Batches of 0 mean and variance 1
- Leaky Activation Functions#ReLu
- Batch normalisation
Stages
Generator, G
- Synthesise 'fake' images
- From noise
Discriminator, D
- Discriminator is a classifier
- Is image fake or real
Training
Code Vector Math for Control
- Do Interpretation#Activation Maximisation to derive code for an image !