Course 2-Improving Deep Neural Networks--Week 2

时间 2020-12-24

标签深度学习繁體版

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优化算法在大数据上训练模型会很慢，若使用优化算法，就会大大提高训练效率。本周的内容就是介绍常见的优化算法，如mini-batch、momentum、RMSprop、Adam，最后再介绍下局部最优与鞍点的概念。 2.1 mini-batch gradient descent batch VS mini-batch gradient descent 向量化操作使得我们可以同时处理m个样本，但是当m很

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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
7. Improving Deep Neural Networks[2]
8. Neural Networks and Deep Learning -- Class 2: Neural Network Basics
9. neural networks and deep learning-chapter1-2
10. Chapter 2 - Neural Network and Deep Learning
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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
7. Improving Deep Neural Networks[2]
8. Neural Networks and Deep Learning -- Class 2: Neural Network Basics
9. neural networks and deep learning-chapter1-2
10. Chapter 2 - Neural Network and Deep Learning

>>更多相关文章<<