Gradient And Karush-Kuhn-Tucker Conditions
最近開始面試，複習當中發現自己有很多基礎的東西有些模糊，藉此溫故而知新一下，並提醒自己基礎很重要，踏踏實實、戒驕戒躁。 一、梯度是什麼？ 1、一個小例子 假設有單變量實值函數，其圖形如下： 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： 在自變量發生微小變化時，目標函數值的變化可以這麼描述： 針對上圖有以下三種情況： (1)、點位置，此時，
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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