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Model using two inputs and one output

Now that you have your two inputs (team id 1 and team id 2) and output (score difference), you can wrap them up in a model so you can use it later for fitting to data and evaluating on new data.

Your model will look like the following diagram:

This is a part of the course

“Advanced Deep Learning with Keras”

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Exercise instructions

  • Define a model with the two teams as inputs and use the score difference as the output.
  • Compile the model with the 'adam' optimizer and 'mean_absolute_error' loss.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Imports
from tensorflow.keras.layers import Subtract
from tensorflow.keras.models import Model

# Subtraction layer from previous exercise
score_diff = Subtract()([team_1_strength, team_2_strength])

# Create the model
model = ____([____, ____], ____)

# Compile the model
____(____, ____)
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