Marketing paradigms class lectures_231995986-Codientu-org-NN-Lectures

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NEURAL NETWORKSLecturer: Primo PotonikUniversity of LjubljanaFaculty of Mechanical EngineeringLaboratory of 2012 Primo PotonikNEURAL NETWORKS (0) Organization of the Study#1TABLE OF CONTENTS0. of the StudyIntroduction to Neural NetworksNeuron Model Network Architectures LearningPerceptrons and linear filtersBackpropagationDynamic NetworksRadial Basis Function NetworksSelf-Organizing MapsPractical Considerations 2012 Primo PotonikNEURAL NETWORKS (0) Organization of the Study#210. Organization of the Study0.1 Objectives of the study0.2 Teaching methods0.3 Assessment0.4 Lecture plan0.5 Books0.6 SLO books0.7 E-Books0.8 Online resources0.9 Simulations0.10 Homeworks 2012 Primo PotonikNEURAL NETWORKS (0) Organization of the Study#31. Objectives of the study Objectives Introduce the principles and methods of neural networks (NN) Present the principal NN models Demonstrate the process of applying NN Learning outcomes Understand the concept of nonparametric modelling by NN Explain the most common NN architecturesFeedforward networksDynamic networksRadial Basis Function NetworksSelf-organized networks Develop the ability to construct NN for solving real-world problems Design proper NN architecture Achieve good training and generalization pe

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