Neural Networks and Deep Learning -- Class 3: Shallow neural networks
3.1 神经网络概览 将两个logistic回归连在一起 a[1] 第1层; a[2] 第二层 3.2 神经网络表示 隐藏层：在训练集中，节点的真实值不可见 a[0]=x a表示将要传递给下一层的值 输入层：第0层 或者，输入层不视为单独的一层【论文默认】 每一层会有对应的参数，数值/矩阵（理解矩阵的维度） 3.3 计算神经网络的输出 向量化 在一层中有不同的节点 -> 纵向堆叠 3.4 多个例子
相关文章
- 1. Neural Networks and Deep Learning -- Class 4: Deep Neural Networks
- 2. Neural Networks and Deep Learning -- Class 2: Neural Network Basics
- 3. Neural Networks and Deep Learning （week3）浅层神经网络(Shallow neural networks)
- 4. neural networks and deep learning-chapter1-3
- 5. Neural Networks and Deep Learning
- 6. neural networks and deep learning-chapter1-2
- 7. COURSE 1 Neural Networks and Deep Learning
- 8. Neural Networks and Deep Learning-引论
- 9. Neural Networks and Deep Learning（week4）深层神经网络（Deep Neural Networks）
- 10. NeuralNetwork and DeepLearing----Shallow neural networks
- 更多相关文章...
- • C# 类（Class） - C#教程
- • SQL AND & OR 运算符 - SQL 教程
- • RxJava操作符（七）Conditional and Boolean
- • Java Agent入门实战（一）-Instrumentation介绍与使用
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。
最新文章
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 -- Class 2: Neural Network Basics
- 3. Neural Networks and Deep Learning （week3）浅层神经网络(Shallow neural networks)
- 4. neural networks and deep learning-chapter1-3
- 5. Neural Networks and Deep Learning
- 6. neural networks and deep learning-chapter1-2
- 7. COURSE 1 Neural Networks and Deep Learning
- 8. Neural Networks and Deep Learning-引论
- 9. Neural Networks and Deep Learning（week4）深层神经网络（Deep Neural Networks）
- 10. NeuralNetwork and DeepLearing----Shallow neural networks