andy
33ac3007bc
Affected files: .obsidian/graph.json .obsidian/workspace-mobile.json .obsidian/workspace.json STEM/AI/Neural Networks/Activation Functions.md STEM/AI/Neural Networks/CNN/FCN/FlowNet.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/Deep Learning.md STEM/AI/Neural Networks/MLP/Back-Propagation.md STEM/AI/Neural Networks/MLP/MLP.md STEM/AI/Neural Networks/Transformers/Attention.md STEM/CS/ABI.md STEM/CS/Calling Conventions.md STEM/CS/Code Types.md STEM/CS/Language Binding.md STEM/img/am-regulariser.png STEM/img/skip-connections.png
724 B
724 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
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Training
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Code Vector Math for Control
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- Do Interpretation#Activation Maximisation to derive code for an image
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