Exercise

# 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.

Keras `Sequential`

model and `Dense`

layer are already loaded for you to use.

Instructions

**100 XP**

- 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.