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stem/AI/Neural Networks/Architectures.md
andy acb7dc429e vault backup: 2023-05-27 00:50:46 
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
2023-05-27 00:50:46 +01:00

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Single-Layer Feedforward

  • Acyclic
  • Count output layer, no computation at input

!feedforward.png

Multilayer Feedforward

  • Hidden layers
    • Extract higher-order statistics
    • Global perspective
    • Helpful with large input layer
  • Fully connected
    • Every neuron is connected to every neuron adjacent layers
  • Below is a 10-4-2 network !multilayerfeedforward.png

Recurrent

  • At least one feedback loop

  • Below has no self-feedback !recurrent.png !recurrentwithhn.png

  • Above has hidden neurons