andy
acb7dc429e
Affected files: .obsidian/graph.json .obsidian/workspace-mobile.json .obsidian/workspace.json STEM/AI/Neural Networks/Architectures.md STEM/AI/Neural Networks/CNN/CNN.md STEM/AI/Neural Networks/CNN/Examples.md STEM/AI/Neural Networks/CNN/FCN/FCN.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/Deep Learning.md STEM/AI/Neural Networks/MLP/MLP.md STEM/AI/Neural Networks/SLP/Least Mean Square.md STEM/AI/Neural Networks/Transformers/Attention.md STEM/AI/Neural Networks/Transformers/Transformers.md STEM/img/feedforward.png STEM/img/multilayerfeedforward.png STEM/img/recurrent.png STEM/img/recurrentwithhn.png
573 B
573 B
Activation Maximisation
- Synthesise an ideal image for a class
- Maximise 1-hot output
- Maximise Activation Functions#SoftMax
- Use trained network
- Don't update weights
- Architectures noise
- Back-Propagation Deep Learning#Loss Function
- Don't update weights
- Update image
- Back-Propagation Deep Learning#Loss Function
Regulariser
- Fit to natural image statistics
- Prone to high frequency noise
- Minimise
- Total variation
x^*
is the best solution to minimise Deep Learning#Loss Function