# 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