stem/AI/Neural Networks/CNN/GAN/GAN.md
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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
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Markdown

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