Gradient And Karush-Kuhn-Tucker Conditions
轉自：http://www.cnblogs.com/vivounicorn/archive/2011/12/29/2306060.htmlhtml 做者講得很詳細，贊！ 1、梯度是什麼？ 一、一個小例子 假設有單變量實值函數，其圖形以下：算法 實值函數在點的導數的意義是該函數在處的瞬時變化率，即：api 在自變量發生微小變化時，目標函數值的變化能夠這麼描述：函數
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相關文章
- 1. Gradient And Karush-Kuhn-Tucker Conditions
- 2. Concurrency and Race Conditions
- 3. 930870 - Determination, valuation, and quantity adjustment of conditions
- 4. Handling Error Conditions
- 5. Duplicated Conditions Types
- 6. The Optimization of the Adaboost and Gradient Boosted Decision Tree
- 7. Policy Gradient and From On-policy to Off-policy
- 8. 【翻譯】Robust Vehicle Detection and Distance Estimation Under Challenging Lighting Conditions
- 9. Prior-based Domain Adaptive Object Detection for Hazy and Rainy Conditions
- 10. 轉 Using the "Start Conditions" in Workflow