INTRODUCTION TO ARTIFICIAL NEURAL NETWORKS

Name: INTRODUCTION TO ARTIFICIAL NEURAL NETWORKS
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COMPSCI/ECE/ME 539

과목 설명

Theory and applications of artificial neural networks: multi-layer perceptron, self-organization mapdeep neural network convolutional neural network, recurrent network, support vector machines genetic algorithm, and evolution computing. Applications to control, pattern recognition, prediction, and object detection and tracking.

선수과목

COMPSCI 200 , COMPSCI 220 , COMPSCI 300 , 301, 302, COMPSCI 310 , placement into COMPSCI 300 , or graduate/professional standing

충족 요건

ECE/ISYE 570

학점

미보고

개설 시기

미보고

평점

3.58

11.27% 과거 데이터 대비

수료율

98.88%

3.62% 과거 데이터 대비

A 비율

43.82%

79.87% 과거 데이터 대비

학급 규모

42.02% 과거 데이터 대비

Cumulative Grade Distribution

강사 (2026 Summr)

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