Restriction of Break Point

Loading...
From the course by National Taiwan University
機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations
191 ratings
National Taiwan University

機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations

191 ratings
From the lesson
第六講: Theory of Generalization
test error can approximate training error if there is enough data and growth function does not grow too fast

Meet the Instructors

  • Hsuan-Tien Lin, 林軒田
    Hsuan-Tien Lin, 林軒田
    副教授 (Associate Professor)
    資訊工程學系 (Computer Science and Information Engineering)
Coursera provides universal access to the world’s best education, partnering with top universities and organizations to offer courses online.
© 2017 Coursera Inc. All rights reserved.
Download on the App StoreGet it on Google Play