| 課程編碼 Course Code | 中文課程名稱 Course Name (Chinese) | 英文課程名稱 Course Name (English) | 總學分數 Credits | 總時數 Hours |
|---|---|---|---|---|
| 3625048 | 人工智慧在資通訊技術應用實務 | Artificial Intelligence in Information and Communication Technology Applications | 3.0 | 3 |
| 中文概述 Chinese Description | 課程主要為介紹人工智慧概念和基本原理，學習DNN/CNN/LSTM的神經網路架構和學習方法，並舉資通訊技術應用實例說明，進而在雲端或非雲端平台實作人工智慧。 課程內容包括： 1.人工智慧概念和基本原理 2.DNN與深度學習 3.DNN應用實例:5G無線資源分配 4.CNN 5.LSTM 6.LSTM應用實例: 5G極化碼解碼和Federated Learning 7.Attention神經網路 8.CNN和Attention應用實例:影片場景分段 9.學習方法:監督式，非監督式，強化學習 10.Amazon雲端平台 11.Amazon DeepLens智慧鏡頭平台 12.Amazon Alexsa智慧音箱平台 13.分組實作 | |||
| 英文概述 English Description | The goal of this course is to introduce ideas and principles behind artificial intelligence. We will teach the structure of DNN/CNN/LSTM neural network structure and learning methods, and implement artificial intelligence in cloud or non-cloud platforms. The course content includes: 1.Ideas and principles of artificial intelligence 2.DNN and deep learning 3.DNN example: 5G wireless resource allocation 4.CNN 5.RNN/LSTM 6.LSTM example: 5G Polar code decoder and Federated Learning 7.Attention neural network 8.CNN and attention example: video scene boundary detection 9.Learning methods: supervised, unsupervised, reinforcement 10.Amazon cloud platform 11.Amazon DeepLens 12.Amazon Alexsa 13.Project implementation | |||
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