Question: Implementation 1 ) Using Collab, design and train a Multi - layer Perceptron ( MLP ) with 1 hidden layer and using Backpropagation ( BP

Implementation 1) Using Collab, design and train a Multi-layer Perceptron (MLP) with 1 hidden layer and using Backpropagation (BP) algorithm on the Breast Cancer Wisconsin Dataset. Use a splitting of 70/30,100 epochs. Show in the code the confusion matrix and test accuracy for each of the following activation functions:
a) Identity Activation Function
b) Sigmoid A.F
c) Step A.F
d) Tanh A.F
e) ReluA.F
Example of one output:
1 mideden layer, activation function - tanh
Test Accuracy: 0.631578947363421
Confucian Matriv
0
Predicted Labels
Implementation 1 ) Using Collab, design and train

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