Reference no: EM133235456

Assignment - Artificial Neural Network Questions

Part A -

Q1 a) What is an artificial neural network b) and for what types of problems can it be used?

Q2) a) Compare artificial and biological neural networks b)What aspects of biological networks are not mimicked by artificial ones? c) What aspects are similar?

Q3) a) What are the most common ANN architectures? b) For what types of problems can they be used?

Q4 a) ANN can be used for both supervised and unsupervised learning. Explain how they learn in a supervised mode.

b) Explain how they learn unsupervised mode.

Part B -

Q1 a) What is deep learning?

b) What can deep learning do that traditional machine-learning methods cannot?

2 a) List different learning paradigms/methods in AI.

b) Briefly explain learning paradigms/methods in AI.

3 a) What is representation learning.

b) How does it relate to machine learning.

c) How does it relate to deep learning.

4 a) List most commonly used ANN activation functions.

b) Briefly describe the most commonly used ANN activation functions.

5 a) What is MLP?

b) How does it work?

c) Explain the function of summation.

d) Explain function activation weights in MLP-type ANN.