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Nov 23, 2024
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CSDP 619 Applications of Neural Networks Credit 3 This course covers basic concepts of neural network architectures and learning algorithms, multiplayer perception, back propagation algorithm, unsupervised learning algorithm, redial-basis networks, support vector machine, self-organization map, recurrent networks, fuzzy system and deep learning. Various applications of neural network architecture will be discussed like pattern recognition, speech/image process, evolution computing, and computer vision. Prerequisite(s): Basic knowledge in programming and data structure or permission of instructor.
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