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
31 lines
728 B
Markdown
31 lines
728 B
Markdown
# Fully [[Convolution]]al
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- Remove [[Max Pooling]]
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- Use strided [[upconv]]
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- Remove [[MLP|FC]] layers
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- Hurts convergence in non-classification
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- Normalisation tricks
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- Batch normalisation
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- Batches of 0 mean and variance 1
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- Leaky [[Activation Functions#ReLu|ReLu]]
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# Stages
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## Generator, G
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- Synthesise 'fake' images
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- From noise
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## Discriminator, D
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- Discriminator is a classifier
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- Is image fake or real
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![[gan-arch.png]]
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![[gan-arch2.png]]
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![[gan-results.png]]
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# Training
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![[gan-training-discriminator.png]]
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![[gan-training-generator.png]]
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# Code Vector Math for Control
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![[cvmfc.png]]
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- Do [[Interpretation#Activation Maximisation|AM]] to derive code for an image
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![[code-vector-math-for-control-results.png]] |