深度學習與物聯網應用

臺北科技大學 115-1 學期課程，課號 366432。

• 學期：115-1
• 授課教師：伊柏文
• 學分：3
• 選修
• 上課時段：週四 2、3、4 節

課程大綱

1.深度學習介紹，2.監督式學習，3.無監督式學習，4.物聯網，5.感知層，6.網路層，7.應用層，8. 深度學習與物聯網應用實例。 1. Introduction to Deep Learning, 2. Supervised Learning, 3. Unsupervised Learning, 4. Internet of Things, 5. Perception Layer, 6. Network Layer, 7. Application Layer, 8. Deep Learning and Internet of Things

課程進度

Week 1-2. Introduction to Deep Learning week 3-4 Fundamental of Internet of Things Week 5-6. Neural Network Architectures Week 7-8. Convolutional Neural Networks Week 9-10 . Recurrent Neural Networks (RNNs) Week 11-12. Image classification and Object detection Week 13. Generative Models Week 14 Transformers & Attention Week 15-16. Application of Deep learning for Internet of things Week 17-18. Final project presentation

評量方式

Assignments : 40 % Labs / Mini Projects: 20 % Attendance : 10 % Final Project : 30 %

教材

【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】 使用外文原文書：是 References : 1. Goodfellow, I., Bengio, Y. & Courville, A.: Deep Learning. 2016, MIT. 2. B.K. Tripathy, J. Anuradham: Internet of Things(IoT): Technologies, Applications, Challenges and Solutions, CRC Press, Taylor and Francis, 2017 3. Anirudh Koul, Siddha Ganju, Meher Kasam: Practical Deep Learning for Cloud, Mobile, and Edge: Real-World AI & Computer-Vision Projects Using Python, Keras & TensorFlow 1st Edition