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工程科學之人工智慧與深度學習導論
INTRODUCTION TO ARTIFICIAL INTELLIGENCE AND DEEP LEARNING FOR ENGINEERS AND SCIENTISTS

人工智慧(AI)已影響基本上所有的網路使用者,然而同時它也還是科幻小說的範疇。自從ImageNet LSVRC-2012競賽以來,深度學習(DI)已然成為一驅使第三次工業革命與其不可勝數的商業應用的核心科技,能有現在人工智慧(ANI)的成功,主要歸功於: ‧ 大標記數據 ‧ GPU加速之分散式運算 ‧ 開源軟體 ‧ 演算法 在本課程中,我們將會討論人工智慧、深度學習、應用、自動化之觀點、倫理道德、演算法偏差以及實現人工智慧的方法。此外,本課程會有利用Python與Tensorflow神經網路判讀數字圖片的練習,課程前並不需要Python與Tensorflow的先備知識。
Artificial Intelligence (AI) already impacts the life of essentially all internet users, but at the same time it is Science Fiction. Deep Learning (DL) has since the ImageNet LSVRC-2012 contest established itself as one of the core technologies driving the third industrial revolution with many commercial applications.?The success of the current wave of Artificial Narrow Intelligence (ANI) is due to: ‧ big labelled data,? ‧ GPU accelerated distributed computing,? ‧ open source software, and? ‧ algorithms. In this course, we will discuss what AI and DL is, their applications and implications from an automation perspective, the importance of ethics and danger of algorithm bias, and the methods that make AI possible, with a focus on Deep Neural Networks. You will also get to apply a Neural Network to identify numbers in images, using Python and TensorFlow. No previous knowledge of AI, Python, or TensorFlow is needed.

課程教育目標
A 培育學生人文素養 Develop humanistic literacy
B 學習跨領域的基礎知識 Acquire interdisciplinary knowledge
課程基本素養與核心能力
A 文化素養
E 國際視野
H 慎思明辨能力
I 跨領域能力
J 社會變遷因應能力
近年開課資訊
開課年度 課程碼 分班碼 課程名稱
(超連結為課程大綱)
學分數 英語授課 授課教師
0107/2 A92O700 工程科學之人工智慧與深度學習導論 1.0 Y 吳馬丁