andy
7052c8c915
Affected files: .obsidian/graph.json .obsidian/workspace.json STEM/AI/Neural Networks/CNN/FCN/FCN.md STEM/AI/Neural Networks/CNN/FCN/FlowNet.md STEM/AI/Neural Networks/CNN/FCN/Super-Resolution.md STEM/AI/Neural Networks/CNN/GAN/CycleGAN.md STEM/AI/Neural Networks/CNN/GAN/DC-GAN.md STEM/AI/Neural Networks/CNN/GAN/GAN.md STEM/AI/Neural Networks/CNN/GAN/cGAN.md STEM/AI/Neural Networks/CNN/Interpretation.md STEM/AI/Neural Networks/CNN/UpConv.md STEM/img/am-process.png STEM/img/am.png STEM/img/fcn-arch.png STEM/img/fcn-eval.png STEM/img/fcn-uses.png STEM/img/flownet-encode.png STEM/img/flownet-training.png STEM/img/flownet-upconv.png STEM/img/flownet.png STEM/img/super-res.png STEM/img/superres-results.png
673 B
673 B
Fully Convolutional
- Remove Max Pooling
- Use strided upconv
- Remove FC layers
- Hurts convergence in non-classification
- Normalisation tricks
- Batch normalisation
- Batches of 0 mean and variance 1
- Leaky Activation Functions#ReLu
- Batch normalisation
Stages
Generator, G
- Synthesise 'fake' images
- From noise
Discriminator, D
- Discriminator is a classifier
- Is image fake or real
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Training
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Code Vector Math for Control
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- Do AM to derive code for an image
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