58072 Neural Networks

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The 58072 Neural Networks course is specifically designed and introduced in the academic curriculum of the students to comprehend them about the basic techniques and principles of neural computation. It also introduces students with various common models and their applications.

Learning Outcomes: After completion of this course, student will be able to:

• Comprehend the learning and generalization issue in neural computation.
• Comprehend the fundamental ideas behind most common learning algorithms for multilayer perceptions, radial-basis function networks, and Kohonen self-organising maps.
• Apply common learning algorithms with existing package.
• Implement neural networks to categorization and recognition problems.

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