B.E. (Biomedical Engineering) Machine Learning Laboratory Abbreviated As ML Lab Syllabus - Mumbai University 2026

Module 1: Implement the activation functions used in the neural network

Module 2: Implement ANDNOT and XOR function using McCulloch-Pitts neural net

Module 3: Implementation of learning rules for neural network

Module 4: Implementation of backpropagation with gradient descent algorithm neural network

Module 5: Design and implement the neural network model for estimation problem.

Module 6: Design and implement the neural network model for classification problem

Module 7: Optimize the neural network model for estimation problem.

Module 8: Optimize the neural network model for classification problem.

Module 9: Design and implement the neural network model for estimation problem with deep learning

Module 10: Design and implement the neural network model for estimation problem with deep learning

Any other experiment based on syllabus which will help learner to understand topic/concept.

Text books

• 1 Introduction to Machine Learning, 3rd edition, Ethem Alpaydin, PHI Learning Private Limited, New Delhi, 2015
• 2 Deep Learning by Josh Patterson and Adam Gibson, O’Reilly Media, Inc., Gravenstein Highway North, Sebastopol CA, 2017
• 3 Neural Networks and Learning Machines Third Edition, Simon Haykin, Pearson, Prentice Hall, 2009
• 1 Machine learning in Action, Peter Harrington, dreamtech Press, New Delhi, 2012
• 2 Machine learning, Tom M, Mitchell, Mc Graw Hill Education(India) Private Limited New Delhi, 2013 Practical examination will be based on experiments and related topics in the laboratory sessions.