COMPUTATIONAL INTELLIGENCE (4/1 Credits)
Learning Outcomes:
On successful completion of this course, student will be able to: Explain the theory, framework, and algorithms of CI; Apply the theory, framework, and algorithms of CI for providing actual application of those techniques in the real world; Design a system using CI techniques.
Topics :
- Introduction to Computational Intelligence;
- Neural Networks;
- Fuzzy Systems;
- Evolutionary Computation;
- Getting Started with TensorFlow I;
- Getting Started with TensorFlow II;
- TensorFlow and Machine Learning Fundamentals I;
- TensorFlow and Machine Learning Fundamentals II;
- TensorFlow and Machine Learning Fundamentals III;
- Implementing Advanced Deep Models in TensorFlow I;
- Implementing Advanced Deep Models in TensorFlow II.
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