'Output unit' diaporamas de présentation

Applying back propagation to shape recognition

Applying back propagation to shape recognition. Presented by Amir Mahdi Azadi Farzane Salami Osame Ghavidel Ahmad Lahuti. outline. BP algorithm IDP Shape recognition with matlab code Face recognision with matlab code. Introduction.

1.34k views • 102 slides

Chapter Twenty-One

1.16k views • 84 slides

Basic Structure of Computers

Basic Structure of Computers. What is a computer?. Simply put, a computer is a sophisticated electronic calculating machine that: Accepts input information, Processes the information according to a list of internally stored instructions and Produces the resulting output information.

854 views • 77 slides

Introduction to Computers, the Internet and World Wide Web

746 views • 61 slides

Neural Networks

Neural Networks. and. Pattern Recognition. Giansalvo EXIN Cirrincione. Sabine Van Huffel. unit #5. The non-linear function of many variables is represented in terms of compositions of non-linear functions of a single variable, called activation functions. The multi-layer perceptron.

625 views • 53 slides

COMP LIT FALL SEMESTER OUTPUT UNIT

COMP LIT FALL SEMESTER OUTPUT UNIT. GET OUT YOUR NOTEBOOKS AND PENS! NO SLEEPING, NO EATING, NO TALKING! LISTEN, LOOK, AND THINK. TAKE NOTES & ASK QUESTIONS. YOU WILL SEE THIS MATERIAL AGAIN!. DO NOT SIT THERE AND NOT UNDERSTAND! SOME OF THIS STUFF MIGHT SEEM A LTTLE WIERD AND CONFUSING.

583 views • 45 slides

Cash Flow Estimation Models

Cash Flow Estimation Models. Estimating Relationships and Problems. Engineering Economic Analysis - Seven Steps. 1. Recognition and formulation of the problem. 2. Development of the feasible alternatives.

466 views • 30 slides

Before we start ADALINE

Before we start ADALINE. Test the response of your Hebb and Perceptron on this following noisy version Exercise pp98 2.6(d). Input Unit. Output Unit. 1. b. X 1. w 1. Y. :. w 2. X n. ADALINE. ADAPTIVE LINEAR NEURON

385 views • 27 slides

Supervised learning network

Supervised learning network. G.Anuradha. Architecture. Earlier attempts to build intelligent and self learning systems using simple components Used to solve simple classification problems Used by Rosenblatt to explain the pattern-recognition abilities of biological visual systems.

462 views • 26 slides

Deep Learning and its Applications Lecture 1

Deep Learning and its Applications Lecture 1. Ming Li University of Waterloo. Acknowledgement: I wish to thank G. Hinton, HY Lee, I. Goodfellow, and C. Olah for their lectures, notes and blogs. I have adapted their ideas and pictures. Spring term, 2017, CS898. Lecture 1: Introduction.

256 views • 23 slides

???????

371 views • 22 slides

Artificial Neural Networks

Artificial Neural Networks. Artificial Neural Networks are another technique for supervised machine learning. k-Nearest Neighbor Decision Tree Logic statements Neural Network. Training Data. Test Data. Clasification. Human neuron. Dendrites pick up signals from other neurons

1.22k views • 20 slides

Example I: Predicting the Weather

328 views • 17 slides

AP720 Product Introduction

AP720 Product Introduction. Instrument BU. AP7 2 0 Automation Programming System 3 rd Generation Quad-Site Gantry. AP720 Handler Configuration. Product Features.

320 views • 17 slides

Flexible Budgets/Variances II

Chapter Eight. Flexible Budgets/Variances II. Developing Budgeted Variable Overhead Allocation Rates. Step 1 : Choose the time period used to compute the budget. . Webb Co. uses a twelve-month budget period. Step 2: Select the cost-allocation base.

414 views • 17 slides

Flexible Budgets/Variances II

Chapter Eight. Flexible Budgets/Variances II. Developing Budgeted Variable Overhead Allocation Rates. Step 1 : Choose the time period used to compute the budget. . Webb Co. uses a twelve-month budget period. Step 2: Select the cost-allocation base.

533 views • 17 slides

Artificial Neural Networks

Artificial Neural Networks. Artificial Neural Networks are (among other things) another technique for supervised learning. k-Nearest Neighbor Decision Tree Neural Network. Training Data. Test Data. Classification. Human neuron. Dendrites pick up signals from other neurons

163 views • 16 slides

CS532 Neural Networks

CS532 Neural Networks. Lecture No. 3 Week2, January 22 nd , 2008. Dr. Anwar Majid Mirza Anwar.m.mirza@nu.edu.pk. National University of Computer and Emerging Sciences NU-FAST, A.K. Brohi Road, H11, Islamabad, Pakistan. In Today's Lecture.

267 views • 13 slides

Overview of Computers and Programming Languages

Overview of Computers and Programming Languages. What is a computer What is a programming language C++ Structured vs. object-oriented programming A simple program. What Is A Computer. A computer is a device capable of performing computations and making logical decisions at very high speed

227 views • 12 slides

Benefits of Devices That Use LCD And Touch Screen Technology

LCD and touch screen technology has been around since the 1970s. However, its popularity has been on the rise in the recent years with the advent of pocket computer systems and mobile phones. If you are interested in more information on LCD touch screen help, please check out http://www.touchscreensmelbourne.com.au/ today.

263 views • 10 slides