Architectures

Single-Layer Feedforward

  • Acyclic
  • Count output layer, no computation at input

feedforward

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

Recurrent

  • At least one feedback loop

  • Below has no self-feedback recurrent recurrentwithhn

  • Above has hidden neurons