stem/AI/Neural Networks/CNN/GAN/GAN.md
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STEM/AI/Neural Networks/CNN/Examples.md
STEM/AI/Neural Networks/CNN/FCN/FCN.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/CNN/UpConv.md
STEM/AI/Neural Networks/Deep Learning.md
STEM/AI/Neural Networks/MLP/MLP.md
STEM/AI/Neural Networks/Properties+Capabilities.md
STEM/AI/Neural Networks/SLP/Least Mean Square.md
STEM/AI/Neural Networks/SLP/SLP.md
STEM/AI/Neural Networks/Transformers/Transformers.md
STEM/AI/Properties.md
STEM/CS/Language Binding.md
STEM/CS/Languages/dotNet.md
STEM/Signal Proc/Image/Image Processing.md
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# Fully [Convolution](../../../../Signal%20Proc/Convolution.md)al
- Remove [Max Pooling](../Max%20Pooling.md)
- Use strided [UpConv](../UpConv.md)
- Remove [FC](../../MLP/MLP.md) layers
- Hurts convergence in non-classification
- Normalisation tricks
- Batch normalisation
- Batches of 0 mean and variance 1
- Leaky [ReLu](../../Activation%20Functions.md#ReLu)
# Stages
## Generator, G
- Synthesise 'fake' images
- From noise
## Discriminator, D
- Discriminator is a classifier
- Is image fake or real
![gan-arch](../../../../img/gan-arch.png)
![gan-arch2](../../../../img/gan-arch2.png)
![gan-results](../../../../img/gan-results.png)]
# Training
![gan-training-discriminator](../../../../img/gan-training-discriminator.png)
![gan-training-generator](../../../../img/gan-training-generator.png)
# Code Vector Math for Control
![cvmfc](../../../../img/cvmfc.png)
- Do [AM](../Interpretation.md#Activation%20Maximisation) to derive code for an image
![code-vector-math-for-control-results](../../../../img/code-vector-math-for-control-results.png)