INTRODUCTION TO ARTIFICIAL NEURAL NETWORKS

Name: INTRODUCTION TO ARTIFICIAL NEURAL NETWORKS
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Rating: 4 (940 reviews)

COMPSCI/ECE/ME 539

课程描述

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.

先修课程

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

满足要求

ECE/ISYE 570

学分

未报告

开课时间

未报告

平均绩点

3.58

11.27% 相比历史数据

完成率

98.88%

3.62% 相比历史数据

A率

43.82%

79.87% 相比历史数据

班级规模

42.02% 相比历史数据

Cumulative Grade Distribution

教师 (2026 Summr)

按评分排序，数据来自 Rate My Professors

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