INTRODUCTION OF NEURAL NETWORK

Topics: Artificial neural network, Neuron, Neural networks Pages: 37 (4142 words) Published: April 14, 2014
EE5904/EE5404 Neural Network

2014/1/16

EE5904/ME5404 Neural Networks

Lecture 1

EE5904R/ME5404:
Neural Networks
Xiang Cheng
Associate Professor
Department of Electrical & Computer Engineering
The National University of Singapore
Phone: 65166210 Office: Block E4-08-07
Email: elexc@nus.edu.sg

EE5904/ME5404 Neural Networks

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Lecture 1

Lecturers
•Dr. Xiang Cheng
•Dr. Chen Chao Yu, Peter, Dept. of Mechanical Engineering, NUS

Teaching Assistant
•Ramesh Bharath
Office: Control and Simulations Lab, E4A-03-04
Tel:

65164404

Email: a0065612@nus.edu.sg

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EE5904/EE5404 Neural Network

2014/1/16

EE5904/ME5404 Neural Networks

Lecture 1

Assessment:
•Continuous Assessment (CA):

40%

•20% three assignments from Dr. Xiang.
•20% mini-projects from Dr. Chen.
•Final Exam:

60%, 7 May, 2014

•Four compulsory questions; Closed book (One A4 data sheet allowed)

Simulation Tools: MATLAB with NEURAL NETWORK toolbox
If you do not have access to MATLAB, please visit the PC clusters at Engineering: http://www.eng.nus.edu.sg/eitu/pc.html
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EE5904/ME5404 Neural Networks

Lecture 1

Textbook:
EE5904R/ME5404 NEURAL NETWORKS

Neural Networks
and Learning
Machines:
International
Version, 3/e
Author

: Simon Haykin

Publisher : Pearson
ISBN

: 9780131293762
Available at NUS Co-op @
Forum !!
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EE5904/EE5404 Neural Network

2014/1/16

EE5904/ME5404 Neural Networks

Lecture 1

What should you expect from this module?
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Learning Objectives
Introduce the students to fundamental concepts and applications of artificial neural networks:

1.

To understand the structures and learning processes of artificial neural networks; Human brain computes in a very different way from PC…

2.

To learn the significance of neural computing technology and its application to real world pattern classification and regression problems;

3.

To experience the use of simulation tool like the neural network toolbox of MATLAB to implement the artificial neural networks.

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EE5904/ME5404 Neural Networks

Lecture 1

What do I expect from you?
1. Be prepared. Roughly go through the material in the textbook before the class. 2. I am going to spoon-feed you with lots of questions !
These questions are designed to arouse your interest and to help you to figure out most of the stuff by your own thinking!
You will have fun by actively participating in thinking and discussing these questions. It will be a waste of your time if you just want to passively listen to the answers. 3. Do the homework assignments by yourself.

You can discuss the questions with your classmates.
But do not copy and paste!
4. Please Use Anonymous Feedback in IVLE! Tell me what you want from me!

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EE5904/EE5404 Neural Network

2014/1/16

EE5904/ME5404 Neural Networks

Lecture 1

Introduction:
What is neural network? And Why?

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EE5904/ME5404 Neural Networks

Lecture 1

What is the most important technology invented in 20th century? The digital computer.
•How does the digital computer process information?
The computer performs binary operations according to a list
of instructions (program)
How many operations can your laptop execute in one second?
CPU speed of 2 GHz -- 2 billion (109)
What is the fastest speed of the supercomputer now?
China's Tianhe-2 (2013):

33.86 Petaflops (1015)

USA’s Cray Titan (2012): 17.59 Petaflops
Japan's K Computer (2011) : 10.5 Petaflops
How many operations can a computer (with one CPU) execute at any given instant? •Only ONE! The operations are serial: one after another!

The modern computers are so fast that it may appear that many programs are running at the same time even though only one is ever executing in any given instant.

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EE5904/EE5404 Neural Network

EE5904/ME5404 Neural Networks

2014/1/16

Lecture 1

•Can computer beat the human brain now?
•Yes and No.
•What are...
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