31 lines
635 B
Markdown
31 lines
635 B
Markdown
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# Fully Convolutional
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- Remove max-pooling
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- Use strided upconv
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- Remove 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 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 AM to derive code for an image
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![[code-vector-math-for-control-results.png]]
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