NCKU Curriculum Map
1. 2.
3.
ARTIFICIAL NEURAL NETWORKS AND APPLICATIONS

Artificial neural networks were introduced in the 1950s. However, in the past decade, neural network processing techniques have been applied to many real-world problems. This allows for many groundbreaking applications such as image, video and natural language processing. This course aims to introduce what a neural network is, how it works and its architecture, what applications it can make, and how to apply neural networks to the engineering and artificial intelligence fields. Discuss some well-known neural network models, provide students with enough relevant details to enable them to practice neural network applications, and build their own neural network systems through MATLAB software and some free free software such as Caffe and Torch To complete a thematic experiment.

Course Goal
A. Cultivate professional research experts.
B. Cultivate cross-disciplinary integration, analysis and negotiation ability.
Course Principle Literacy and Competence
[Competence]
  • Professional knowledge in engineering field.
  • Plan and execute case study.
  • Write professional essays.
  • Creative thinking and independent problem-solving ability.
  • Courses of Recent Years
    Year/
    Semester
    Course
    Number
    Class
    Code
    Course Name
    (The name will link to the syllabus.)
    Credit Taught in English
    (Yes or No)
    Instructor
    0108/1 N984400 [ES7833]ARTIFICIAL NEURAL NETWORKS AND APPLICATIONS 3.0 N Wang, Ming-Shi