A multi-class model

You're going to build a model that predicts who threw which dart only based on where that dart landed! (That is the dart's x and y coordinates on the board.)

This problem is a multi-class classification problem since each dart can only be thrown by one of 4 competitors. So classes/labels are mutually exclusive, and therefore we can build a neuron with as many output as competitors and use the softmax activation function to achieve a total sum of probabilities of 1 over all competitors.

The Sequential model and Dense layers are already imported for you to use.

Instantiate a Sequential model.
Add 3 dense layers of 128, 64 and 32 neurons each.
Add a final dense layer with as many neurons as competitors.
Compile your model using categorical_crossentropy loss.

Exercise

A multi-class model

Instructions