MP neuron

Seite 1

MODEL

Model is the approximation function that we assume holds the relation between the training input and output

An example is y = mx+c , where m is the parameter

When specifying a model , we need to specify what parameters has to be learnt, what kind of input it takes and what output it gives

Seite 2