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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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536 views • 33 slides

Precision Modeling and Bitwidth Optimization of Floating-Point Applications

Precision Modeling and Bitwidth Optimization of Floating-Point Applications. Zhihong Zhao Miriam Leeser Alternative System Concepts, Inc. Northeastern University Windham, NH, USA Boston, MA, USA. Outline. Variable Bitwidth Computing

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393 views • 30 slides

Layered

Concept Map for Ch.3. Feed forward Network. Nonlayered. Layered. Learning by BP. Sigmoid. ?. ?. ?. Multilayer Perceptron: y = F(x,W) ? f (x). ALC. Single Layer. Multilayer. Ch 2. Ch2,1. Ch 1. Learning : {(x i , f (x i )) | i = 1 ~ N} ? W. Old W. Gradient Descent.

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385 views • 24 slides

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Output error - PowerPoint PPT Presentation

BACKPROPAGATION: An Example of Supervised Learning

Precision Modeling and Bitwidth Optimization of Floating-Point Applications

Layered