課程名稱 Course Title |
(中文) 深度神經網路實驗
(英文) Deep Neural Network Experiments |
開課單位 Departments |
資訊工程學系 |
課程代碼 Course No. |
I3940 |
授課教師 Instructor |
謝禎冏 |
學分數 Credit |
2.0 |
必/選修 core required/optional |
選修 |
開課年級 Level |
大四 |
先修科目或先備能力(Course Pre-requisites):Computer Programming, Image Processing |
課程概述與目標(Course Overview and Goals):Deep learning, a branch of machine learning, is the fastest-growing field in artificial intelligence. Deep learning mimics how human neural networks work. This course will teach common deep learning architectures, such as Multilayer Perceptron (Multilayer Perceptron), Deep Neural Network DNN (Deep Neural Network), Convolutional Neural Network CNN (Convolutional Neural Network), Recurrent Neural Network RNN (Recurrent Neural Network). The goal is to enable students to apply deep learning in visual recognition, speech recognition, natural language processing, biomedicine, and other fields and achieve good results. This course is one of the EMI courses taught in English. |
教科書(Textbook) |
Self-created material |
參考教材(Reference) |
International Journals, Conferences, Python, Tensorflow/Keras, Yolo Websites. |
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