Functions that depend on inputs and trainable parameters
Can be very complicated.
No conceptual input between input and parameter;
parameter is shared across training samples – generally implicit to the parameterized function
input changes with each training sample
output goes to a
to compare output against output you want
Deep Learning Nyu.Week 2