Deep learning II - II Optimization algorithms - Mini-batch gradient descent
Mini-batch gradient descent 1. 用batch gradient descent時，當數據量巨大時，向量化的實現同樣很慢，並且需要處理全部數據後，gradient纔會得到更新 2. 使用mini-batch gradient descent來訓練時，每一個mini-batch都能時gradient得到更新（但不一定都使 L L 下降） 3. mini-batch的大小如
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相關文章
- 1. Deep learning II - II Optimization algorithms - Gradient descent with momentum 動量梯度下降算法
- 2. Deep learning II - II Optimization algorithms - learning rate decay 學習速率衰減
- 3. Deep learning II - II Optimization algorithms - Adam (Adaptive Moment Estimation)自適應矩估計
- 4. Deep learning II - II Optimization algorithms - RMSprop (Root Mean Square prop)均方根傳遞
- 5. An overview of gradient descent optimization algorithms
- 6. (轉) An overview of gradient descent optimization algorithms
- 7. Deep learning II - II Optimization algorithms - Exponentially weighted averages 指數加權平均
- 8. Shallow analysis of gradient descent optimization algorithms
- 9. An overview of gradient descent optimization algorithm
- 10. Optimization Method -- Gradient Descent with Momentum Gradient Descent （轉）