Fall – EE-589 Introduction to Neural Networks

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For HOMEWORK1/2 http://archive.ics.uci.edu/ml/datasets/Iris

Lecture3-BackpropagationNN

lecture4-Unsupervised Learning-I

Book : http://www.mif.vu.lt/~valdas/DNT/Literatura/Haykin09/Haykin09.pdf

Lecture1-Introduction to ANN

NN and MATLAB : Neural Network in MATLAB; Neural_networks_basics_; NN-examples;

Lecture2-Feed-Forward Neural Networks

Lecture3-BackpropagationNN

Lecture5-Introduction to Radial Basis Function Networks

Lecture4-Unsupervised Learning-II Neural Networks

Lecture6-SVM-I

Lecture7-SOM

HOMEWORK-02

HOMEWORK-03

 

Örnek Kod :MATLAB_Codes

             ELECO2015_CFP— The projects will be prepared for the ELECO2015.

;

           lecture4-Unsupervised Learnin-Destek-I ;

          Lecture4-UnsupervisedLearning-Destek-II;

          Lecture4-Unsupervised Learning Destek-III;

          WK6 – Self-Organising Networks

Lecture5—Introduction to Radial Basis Function Networks

Lecture6-SVM-I ; Lecture6-SVM-II

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AINN, Artificial Intelligence – IEEE Artificial Neural Networks A Tutorial,  MatlabNeuralNetworkIntro

PLEASE read these files first

Week

Class Meetings- Pls read it before

Handouts, Sample   Code,   Homeworks—Etc.

Week 1          19/02  Meeting  
Week 2          26/02  Introduction to ANN-I  Lecture1-Introduction to ANN
Week 3          05/03  Introduction to ANN-II  Lecture1
Week 4         12/03  FeedForward Learning I  Lecture2-Feed-Forward Neural Networks
Week 5         19/03  NO CLASS I will be out of the town;   Pls study MATLAB: matlab4 Neural_networks_basics_ NN-examples
Week 6         26/03  FeedForward Learning II, homework01  hw1
Week 7         02/04  MATLAB examples; Proposal  (Check Lecture1 out before you hand in your proposal)   Pls bring your labtop with installed MATLAB
Week 8         09/04  Unsupervised Learning  Lecture3-Unsupervised Learning Neural Networks; HW02
Week 9         16/04  Sorry
Week 10       23/04  Offical Holiday
Week 11       30/04  Reinforcement Learning   Lecture4-Reinforcement Learning
Week 12       07/05 No class – out of town
Week 13       14/05  Lecture08-Hybrid Intelligent Systems; HW04
Week 14       21/05  Presentation of the projects  Each student will present his/her project
Week 15       28/05 Final Exam  The exam covers all metarials in this webpage the under 2014- CLOSED BOOK
Week 16  Final Exam  No Class-
 2012911333-Djaber_MAOUCHE-Proposal  2012911333-Djaber_MAOUCHE_Report  2012911333-Djaber_MAOUCHE-Presentation
 2013911116-ÖzgürÇELİK-Proposal  2013911116-ÖzgürÇELİK-Report  2013911116-ÖzgürCELIK Presentation
 2013911131-AyşeSOYLU-Proposal  2013911131-AyşeSoylu_Rapor  2013911131-AyşeSoylu_Sunum
 2014911006-CanAYTEN-Proposal  NO REPORT  NO PRESENTATION
 FatmaOZYURTSANCAR-Proposal  FatmaOZYURTSANCAR-Project  FatmaOZYURTSANCAR-Sunum
 PinarUskuner-Proposal  PınarUskaner.HABERMAN Project  PinarUSKANER-Sunum
 2014913024-GökayDİŞKEN-ANN Proposal  2014913024-gokaydisken-project  2014913024-gokaydisken_sunu

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AINN, Artificial Intelligence – IEEE Artificial Neural Networks A Tutorial, homework01 iristestdata(homework03 06-Unsupervised)

10-Hybrid Intelligent Systems

09-SVM

08-RBF

07-SelfOrganizingMapSOM

06-Unsupervised

05-Feedforward

04-Structures

02-Matlab

01-Introduction

======== 2 0 1 0 ==========

06-RBF
iris
05-SelfOrganizingMapSOM
05-MATLAB’DA SOM
Neural Networks A Comprehensive Foundation
04-Feedforward


Matlab Tutorial
Matlab tutorial2


01-Introduction Handout
Academic Integrity


homework:

homework01
AINN
Artificial Intelligence – IEEE Artificial Neural Networks A Tutorial
nnet


02-Matlab
homework02
03-Structures

Reklamlar

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