MLP (Multilayer Perceptron)
- Fully Connected layered architecture with feed-forward propagation of input signals.
- Activation Functions are usually sigmoid and/or linear
- Dynamics: simultaneous propagation of the signal with no delays, from the input layer to the output layer, traversing an arbitrary number of hidden layer (even 0 hidden layers is acceptable)
- Learning: supervised, via the gradient method (backpropagation)
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