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450 B
450 B
Exercise 3 Architecture
The goal of this exercise is to combine the layers and to create a neural network.
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Create a neural network for regression with the following architecture and return
print(model.summary())
:- 5 inputs variables
- hidden layer 1: 8 neurons and sigmoid as activation function
- hidden layer 2: 4 neurons and sigmoid as activation function
- output layer: 1 neuron. Find the adapted activation function