Announcement
06/27 Keras supplemental resources are provided.
06/15 P5 Deep Learning Deadline: 06/21 submit
06/15 New slide: Unit 10 Convolutional Neural Networks. Please go to "Course Materials" page.
06/07 P4A: "Ch.6 Neural Networks", TensorFlow Machine Learning Cookbook. Deadline: 06/21
06/07 P4: 類神經網路簡介 Deadline: 06/14 submit
06/07 New slide: Unit 9 Deep Neural Networks. Please go to "Course Materials" page.
06/01 R4: Artificial Neural Network Deadline: 06/08 submit
06/01 New slide: Unit 7 Neural Information Processing. Please go to "Course Materials" page.
05/31 Slide update: Unit 6 Logistic Regression V2.1 (Errors of formula of softmax function are corrected)
05/30 P3B: "Ch.4 Support Vector Machine", TensorFlow Machine Learning Cookbook. Deadline: 06/14
05/29 P3A: "Ch.3 Linear Regression", TensorFlow Machine Learning Cookbook. Deadline: 06/07
05/19 Slide update: Unit 6 Logistic Regression V2 (Add more explanations of softmax function)
05/18 New slide: Unit 6 Logistic Regression. Please go to "Course Materials" page.
05/17 R3: Logistic Regression(邏輯回歸) Deadline: 05/31 submit
05/11 New slide: Unit 5 Linear Regression. Please go to "Course Materials" page.
05/11 新增機器學習與深度學習參考書籍之網頁:Textbook & References
05/08 R2: Linear Regression(線性回歸) Deadline: 05/17 submit
05/04 A supplement page with extra learning materials is provided. The TensorFlow page has a lot of useful resources.
05/03 R1: SVM(支持向量機) Deadline: 05/10 submit
04/27 P3: 機器學習演算法練習 Deadline: 05/03 submit
04/27 Slide update: 04-Supervised Learning Algorithms (pp. 34-38 are changed)
04/24 News update: many public news about ML/AI
04/13 P2: 用TensorFlow求解數學問題 Deadline: 04/26 submit
04/10 Google Cloud Platform (GCP)開放免費申請,有TensorFlow雲端虛擬主機。
04/06 P1: TensorFlow Installation Deadline: 04/12 submit
03/30 Ex 6: Python Programming (V) Deadline: 04/03 submit
03/23 Ex 5: Python Programming (IV) Deadline: 03/29 submit
03/08 Ex 3: Python Programming (II). Deadline: 03/15 submit
03/04 Supplement : Resources for Python and Machine Learning
03/02 Ex 2: Python Programming (I) Deadline: 03/08 submit
03/02 New slide and lecture note: Units 1 and 2 are open to download. Please go to "Course Materials" page.
03/01 Our classroom is changed to be SF722.
02/27 Course information and schedule are updated.