- Hands-On Generative Adversarial Networks with Keras
- Rafael Valle
- 38字
- 2021-06-24 14:33:50
L2 loss
The L2 loss function, also known as MSE, measures the average point-wise squared difference between the prediction, , and the target value,
. Compared to the L1 loss function, the L2 loss function penalizes larger errors:

推薦閱讀
- 實時流計算系統設計與實現
- 空間機器人遙操作系統及控制
- Hands-On Data Science with SQL Server 2017
- 返璞歸真:UNIX技術內幕
- 精通Excel VBA
- Python Data Science Essentials
- 工業機器人入門實用教程(KUKA機器人)
- Windows內核原理與實現
- C語言開發技術詳解
- Embedded Programming with Modern C++ Cookbook
- INSTANT Autodesk Revit 2013 Customization with .NET How-to
- 學練一本通:51單片機應用技術
- Flash CS5二維動畫設計與制作
- 工業機器人技術
- 軟件測試管理