Course 2-Improving Deep Neural Networks--Week 2
優化算法 在大數據上訓練模型會很慢，若使用優化算法，就會大大提高訓練效率。本週的內容就是介紹常見的優化算法，如mini-batch、momentum、RMSprop、Adam，最後再介紹下局部最優與鞍點的概念。 2.1 mini-batch gradient descent batch VS mini-batch gradient descent 向量化操作使得我們可以同時處理m個樣本，但是當m很
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相關文章
- 1. Course 2-Improving Deep Neural Networks--Week 1
- 2. COURSE 1 Neural Networks and Deep Learning
- 3. Course 1-Neural Network & Deep Learning
- 4. Course 4-Convolutional Neural Networks--Week 2
- 5. Course 5-Recurrent Neural Networks--Week 2
- 6. COURSE 2 Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization
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