Description
Multilayer Perceptron
Questions:
1. [50 marks, 40 marks for Grads] Implement a multi-layer perceptron (MLP) by modifying the MLP program
from the class to solve the XOR problem and train it to translate the digital letters given in file pattern1 into
the corresponding ASCII representation. Plot a training curve and interpret your results.
2. [30 marks, 20 marks for Grads] Investigate how much noise the MLP can tolerate in the pattern before
being unable to recognize a letter. Report your results.
3. [20 marks, 10 marks for Grads] Which letter is represented in file pattern2?
4. Grad Students only [30 marks] Investigate the network performance when training on noisy patterns. Also,
how the number of hidden nodes influence the performance?
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