Make a model and compile it
Now that you've input and output layers for the 3-input model, wrap them up in a Keras model class, and then compile the model, so you can fit it to data and use it to make predictions on new data.
This exercise is part of the course
Advanced Deep Learning with Keras
Exercise instructions
- Create a model using
team_in_1
,team_in_2
, andhome_in
as inputs andout
as the output. - Compile the model using the
'adam'
optimizer and'mean_absolute_error'
as the loss function.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Import the model class
from tensorflow.keras.models import Model
# Make a Model
model = ____([____, ____, ____], ____)
# Compile the model
____.____(optimizer=____, loss=____)