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Introduction to Neural Networks

Introduction to Neural Networks

Saturdays and Mondays from 08:00 am to 09:30am

E-Learning Center

1st Semester 1396-1396 (Sep. 2017)

Instructor: Dr. Mohammad Reza Ahmadzadeh

Room Location: ECE  Building – B322
Internal Telephone: Ext. 5370
External Telephone: Iran: +98 (0)31 33915370
Fax: Iran: +98 (0)31 33912451
Email:

Office Hours:

I will try to be in my office on Saturdays and Mondays from 8 :00 to 9 :20 am and but I will always do my best to be available for students by appointment or any time that I am free.

Course Description:

This course covers the fundamentals of Neural Networks.

Outline:

Introduction
Neuron Model and Network Architectures
An Illustrative Example
Perceptron Learning Rule
Signal and Weight Vector Spaces
Linear Transformations for Neural Networks
Supervised Hebbian Learning
Performance Surfaces and Optimum Points
Performance Optimization
Widrow-Hoff Learning
Backpropagation
Variations on Backpropagation
Generalization
Dynamic Networks
Associative Learning
Competitive Networks
Radial Basis Networks
Grossberg Network
Adaptive Resonance Theory
Hopfield Network
Deep Networks
Convolutional Networks

 

پیش نیازها: 

N

سیاست نمره دهی: 

Midterm Exam ≈ 25%

HW, Comp. Assignments and projects: ≈ 30%

Final exam ≈ 45%

زمان بندی کلاس: 

Saturdays and Mondays from 08:00 am to 09:30am

Term: 
Fall 2017
Grade: 
Graduate