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Exercise 3 Architecture

The goal of this exercise is to combine the layers and to create a neural network.

  1. 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