neural networks and deep learning-chapter1-2
1.3 神经网络的架构 假设我们有这样一个神经网络： 如前文所示，最左边的一层称为输入层，其神经元称为输入神经元；最右边的一层称为输出层，其神经元称为输出神经元。而对于那些居于这两层之间的层，我们称之为隐藏层。它表达的含义非常简单：既非输入层也非输出层的层。隐藏层可以是0层，也可以是无数层。 一般来说，输入层和输出层是很好设计的：我们的数据有多少特征，我们就设计多少个输入神经元；我们需要得到多少目
相关文章
- 1. Neural Networks and Deep Learning -- Class 4: Deep Neural Networks
- 2. Neural Networks and Deep Learning
- 3. Neural Networks and Deep Learning -- Class 3: Shallow neural networks
- 4. neural networks and deep learning-chapter1-3
- 5. COURSE 1 Neural Networks and Deep Learning
- 6. Neural Networks and Deep Learning-引论
- 7. Neural Networks and Deep Learning_week3练习
- 8. Neural Networks and Deep Learning_week2练习
- 9. Neural Networks and Deep Learning（week4）深层神经网络（Deep Neural Networks）
- 10. Neural Networks and Deep Learning -- Class 2: Neural Network Basics
- 更多相关文章...
- • W3C RDF and OWL 活动 - W3C 教程
- • XSL-FO table-and-caption 对象 - XSL-FO 教程
- • RxJava操作符（七）Conditional and Boolean
- • 算法总结-股票买卖
相关标签/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
欢迎关注本站公众号,获取更多信息
相关文章
- 1. Neural Networks and Deep Learning -- Class 4: Deep Neural Networks
- 2. Neural Networks and Deep Learning
- 3. Neural Networks and Deep Learning -- Class 3: Shallow neural networks
- 4. neural networks and deep learning-chapter1-3
- 5. COURSE 1 Neural Networks and Deep Learning
- 6. Neural Networks and Deep Learning-引论
- 7. Neural Networks and Deep Learning_week3练习
- 8. Neural Networks and Deep Learning_week2练习
- 9. Neural Networks and Deep Learning（week4）深层神经网络（Deep Neural Networks）
- 10. Neural Networks and Deep Learning -- Class 2: Neural Network Basics