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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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README.md

Fully Convolutional

  • Remove Max Pooling
  • Remove FC layers
    • Hurts convergence in non-classification
  • Normalisation tricks
    • Batch normalisation
      • Batches of 0 mean and variance 1
    • Leaky ReLu

Stages

Generator, G

  • Synthesise 'fake' images
  • From noise

Discriminator, D

  • Discriminator is a classifier
    • Is image fake or real

gan-arch gan-arch2

gan-results]

Training

gan-training-discriminator gan-training-generator

Code Vector Math for Control

cvmfc

  • Do AM to derive code for an image code-vector-math-for-control-results