stem/AI/Neural Networks/Architectures.md

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# 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