An overview of gradient descent optimization algorithms
轉載自：http://sebastianruder.com/optimizing-gradient-descent/html 梯度降低優化及其各類變體。1.隨機梯度降低（SGD） 2.小批量梯度降低（mini-batch）3.最優勢附近加速且穩定的動量法（Momentum）4.在谷歌毛臉中也使用的自適應學習率AdaGrad 5.克服AdaGrad梯度消失的RMSprop和AdaDelta。S.Ru
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相關文章
- 1. An overview of gradient descent optimization algorithm
- 2. (轉) An overview of gradient descent optimization algorithms
- 3. Shallow analysis of gradient descent optimization algorithms
- 4. A review of gradient descent optimization methods
- 5. Deep learning II - II Optimization algorithms - Mini-batch gradient descent
- 6. Optimization Method -- Gradient Descent with Momentum Gradient Descent （轉）
- 7. Gradient descent
- 8. Policy Gradient Algorithms
- 9. Gradient Optimization
- 10. Note1 for Complexity of algorithms of optimization problems