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About Neural Network & Fuzzy Logic
This document provides a lesson plan for the course "Neural Network & Fuzzy Logic" offered by the Department of Computer Science and Engineering. The 3-credit, core course is offered in the spring 2020 semester across 3 sections and will be taught by two instructors. The lesson plan outlines the course objectives, outcomes, schedule, topics, teaching strategies, and assessment methods. Key topics include neural network architectures, training algorithms, and applications. Performance will be evaluated through class participation, tests, assignments, and a final exam.
Detailed Information
Author: | ['Sadia Akter'] |
---|---|
Publication Year: | 2021 |
Pages: | 5 |
Language: | English |
Format: | |
Price: | FREE |
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