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Neural Networks Chapter 8 Principal Components Analysis CS679 Lecture Note by Jahwan Kim

Neural Networks Chapter 8 Principal Components Analysis CS679 Lecture Note by Jahwan Kim Computer Science Department KAIST. Introduction. The purpose of an algorithm for self-organized learning or unsupervised learning is to discover features in the input data without a teacher.

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BACKPROPAGATION: An Example of Supervised Learning

BACKPROPAGATION: An Example of Supervised Learning One useful network is feed-forward network (often trained using the backpropagation algorithm) called the Multi-Layer Perceptron (MLP) in Fig. MLP. Three layers of (real-valued) units in range (0..1).

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Learning rate parameter - PowerPoint PPT Presentation

Neural Networks Chapter 8 Principal Components Analysis CS679 Lecture Note by Jahwan Kim

BACKPROPAGATION: An Example of Supervised Learning