stem/AI/Neural Networks/Architectures.md
andy 4cc2e79866 vault backup: 2023-05-31 22:21:56
Affected files:
.obsidian/global-search.json
.obsidian/workspace.json
Health/Alexithymia.md
Health/BWS.md
STEM/AI/Neural Networks/Activation Functions.md
STEM/AI/Neural Networks/Architectures.md
STEM/AI/Neural Networks/CNN/CNN.md
STEM/AI/Neural Networks/MLP/Back-Propagation.md
STEM/AI/Neural Networks/Transformers/Attention.md
STEM/CS/Calling Conventions.md
STEM/CS/Languages/Assembly.md
2023-05-31 22:21:56 +01:00

23 lines
616 B
Markdown

# Single-Layer Feedforward
- *Acyclic*
- Count output layer, no computation at input
![feedforward](../../img/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](../../img/multilayerfeedforward.png)
# Recurrent
- At least one feedback loop
- Below has no self-feedback
![recurrent](../../img/recurrent.png)
![recurrentwithhn](../../img/recurrentwithhn.png)
- Above has hidden neurons