Revision as of 21:08, 11 June 2023 by Admin (Created page with "<div class="d-none"> <math> \newcommand\feature{x} </math> </div> Consider a predictor map <math>h(\feature)</math> which is piece-wise linear and consisting of <math>1000</...")
ABy Admin
Jun 11'23
Exercise
[math] \newcommand\feature{x} [/math]
Consider a predictor map [math]h(\feature)[/math] which is piece-wise linear and consisting of [math]1000[/math] pieces. Assume we want to represent this map by an artificial neural network (ANN) using neurons with one hidden layer of neurons having a rectified linear unit (ReLU) activation function. The output layer consists of a single neuron with linear activation function.
How many neurons must the ANN contain at least ?