深度學習理論和Matlab實作 I
Deep Learning: Theory and Practice using Matlab I
學期
107-1
學分
3
學分
當期課號
5939
永久課號
IPO5020
開課單位
光電學院
授課教師
陳顯禎
校區
歸仁
類別
選修
上課時間表
| 節 | 週四 |
|---|---|
5 13:20–14:10 | 深度學習理論和Matlab實作 I CM217 3 節連堂 |
6 14:20–15:10 | |
7 15:30–16:20 |
* 根據陽明交大上課時間表所列
概述
The purpose of this course is to help students understand the core concept of machine leaning, including neural networks and modern techniques for deep learning. Students will have the ability of using neural networks and deep learning techniques by Matlab to solve complex pattern recognition problems.
先修科目
Linear Algebra, Discrete Mathematics, Probability
教學方式
Lecture, Lab programming 注意:請同學遵守智慧財產權觀念,使用正版教科書,不得非法影印
評分方式
Test, Exam, Program
週次計畫
| 週次 | 主題 |
|---|---|
| 第 1 週 | Introduction |
| 第 2 週 | Supervised Learning |
| 第 3 週 | Bayesian Decision Theory |
| 第 4 週 | Matlab: Introduction |
| 第 5 週 | Clustering |
| 第 6 週 | Linear Discrimination |
| 第 7 週 | Linear Discrimination |
| 第 8 週 | Matlab practice |
| 第 9 週 | Midterm Week |
| 第 10 週 | Perceptron |
| 第 11 週 | Neuron Model |
| 第 12 週 | Neural Network Architectures |
| 第 13 週 | Matlab practice |
| 第 14 週 | Matlab practice |
| 第 15 週 | Gradient Descent |
| 第 16 週 | Backpropagation |
| 第 17 週 | Matlab practice |
| 第 18 週 | Final Week |
教科書
Introduction to Machine Learning 3rd Ed, Alpaydin, MIT Press 2014 INTRODUCTION TO MATLAB FOR ENGINEERS 3/E Palm III, McGraw Hill 2011