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Multi Layer Perceptron

Multi Layer Perceptron

Multi Layer Perceptron. x 1. x 2. x n. Threshold Logic Unit (TLU). inputs. weights. w 1. output. activation. w 2. ?. y. q. a= ? i=1 n w i x i. w n. 1 if a ? q y = 0 if a < q. {. Activation Functions. threshold. linear. y. y. a. a.

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1.01k views • 85 slides
Computacion inteligente

Computacion inteligente

Computacion inteligente. The perceptron. Agenda. History Perceptron structure Perceptron as a two-class classifier The Perceptron as a Logic Operator Perceptron Learning Perceptron Convergence Theorem Examples Perceptron Limitation. History. History.

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1.15k views • 80 slides
Neural Networks

Neural Networks

Neural Networks. L. Manevitz Dept of Computer Science manevitz@cs.haifa.ac.il Tel: 2420. Plan. Requirements Background Brains and Computers Computational Models Learnability vs Programming Representability vs Training Rules Abstractions of Neurons Abstractions of Networks

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760 views • 68 slides
BRAINSCut Human brain segmentation for volumetric measures

BRAINSCut Human brain segmentation for volumetric measures

BRAINSCut Human brain segmentation for volumetric measures. EUN YOUNG (REGINA) KIM BIOMEDICAL ENGINEERING DEPT. 2011 Nov 02. Motivation.

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553 views • 46 slides
MODEL BUILDING THROUGH REGRESSION

MODEL BUILDING THROUGH REGRESSION

MODEL BUILDING THROUGH REGRESSION. contents. Introduction to model building through regression Linear regression model. Maximum a posteriori ( MAP) estimation of parameter vector. Relation between regularized least-squares estimation and MAP estimation.

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591 views • 41 slides
For Monday

For Monday

For Monday. Read Chapter 22, sections 4-6 No written homework. Program 4. Remember postponed until Wednesday week Any questions?. Picking the Best Literal. Based on information gain (similar to ID3). |p|*(log 2 (|p| /(|p|+|n|)) - log 2 (|P| /(|P|+|N|)))

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487 views • 38 slides
For Monday

For Monday

For Monday. Finish chapter 22 FOIL mini-project due. Program 5. Learning mini-project. Worth 2 homeworks Due next Monday Foil6 is available in /home/mecalif/public/itk340/foil A manual and sample data files are there as well.

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483 views • 36 slides
For Monday

For Monday

For Monday. Read chapter 22, sections 1-3 No homework. Exam 2. Take-home due Friday Clarification questions? Review questions?. Program 4. Any questions?. Real Neurons. Cells forming the basis of neural tissue Cell body Dendrites Axon Syntaptic terminals

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469 views • 35 slides
For Friday

For Friday

For Friday. No reading Take home exam due Exam 2. For Monday. Read chapter 22, sections 1-3 FOIL exercise due. Model Neuron (Linear Threshold Unit). Neuron modelled by a unit ( j ) connected by weights, w ji , to other units ( i ): Net input to a unit is defined as:

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393 views • 29 slides

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