Generalization error
In classification, the generalization error is often used as a means to mea- sure a classifier's accuracy of generalization. Estimating the generalization error. , ,In this work, we derive an algorithm-dependent generalization error bound for deep ReLU networks, and show that under certain assumptions on the data ... ,2018年8月3日 — Thus, an important question is what makes deep neural networks able to generalize well from the training set to new data. In this article, we ... ,2019年8月14日 — The generalization error of a machine learning model is the difference between the empirical loss of the training set and the expected loss of a ... ,If the test error increases with the number of training examples, that's a sign that you have a bug in your code or that there's something wrong with your model. On ... ,2018年10月28日 — Definition. Firstly, let's define “generalization error”. In supervised learning applications in machine learning and statistical learning theory, ... ,一個機器學習模型的泛化誤差（Generalization error），是一個描述學生機器在從樣品數據中學習之後，離教師機器之間的差距的函數。使用這個名字是因為這個 ...
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 Generalization error 相關參考資料
ESTIMATION OF GENERALIZATION ERROR - Institute of ...
In classification, the generalization error is often used as a means to mea- sure a classifier's accuracy of generalization. Estimating the generalization error. http://www3.stat.sinica.edu.tw Generalization error - Wikipedia
https://en.wikipedia.org Generalization Error Bounds of Gradient Descent for Learning ...
In this work, we derive an algorithm-dependent generalization error bound for deep ReLU networks, and show that under certain assumptions on the data ... https://arxiv.org Generalization Error in Deep Learning
2018年8月3日 — Thus, an important question is what makes deep neural networks able to generalize well from the training set to new data. In this article, we ... https://arxiv.org Generalization Error in Deep Learning | SpringerLink
2019年8月14日 — The generalization error of a machine learning model is the difference between the empirical loss of the training set and the expected loss of a ... https://link.springer.com Lecture 9: Generalization
If the test error increases with the number of training examples, that's a sign that you have a bug in your code or that there's something wrong with your model. On ... https://www.cs.toronto.edu Understanding Generalization Error in Machine Learning | by ...
2018年10月28日 — Definition. Firstly, let's define “generalization error”. In supervised learning applications in machine learning and statistical learning theory, ... https://medium.com 泛化誤差- 維基百科，自由的百科全書 - Wikipedia
一個機器學習模型的泛化誤差（Generalization error），是一個描述學生機器在從樣品數據中學習之後，離教師機器之間的差距的函數。使用這個名字是因為這個 ... https://zh.wikipedia.org |