[Solved] EEL5840-Homework 4

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Question 1

Consider the following multi-layer perceptron.

Figure 1: Two layer multi-layer perceptron

For the set of input data

X

calculate the output vector yR6. You can assume that all activation functions () are rectified linear units (ReLU), where

Question 2

For the following two-dimensional data sets, do the following:

  1. For each data set, design two different neural networks by hand which can discriminate between the classes (each class indicated by a different color).
  2. Code your solutions in python and verify that the network learns a decision boundarysimilar to what you designed. For this section, you should include plots showing the data and the corresponding decision boundaries learned by the networks.

Figure 2: Data set 1

Figure 3: Data set 2

Figure 4: Data set 3

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[Solved] EEL5840-Homework 4[Solved] EEL5840-Homework 4
$25