Neural Networks and Deep Learning -- Class 3: Shallow neural networks
3.1 神經網絡概覽 將兩個logistic迴歸連在一起 a[1] 第1層; a[2] 第二層 3.2 神經網絡表示 隱藏層：在訓練集中，節點的真實值不可見 a[0]=x a表示將要傳遞給下一層的值 輸入層：第0層 或者，輸入層不視爲單獨的一層【論文默認】 每一層會有對應的參數，數值/矩陣（理解矩陣的維度） 3.3 計算神經網絡的輸出 向量化 在一層中有不同的節點 -> 縱向堆疊 3.4 多個例子
相關文章
- 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）淺層神經網絡(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-引論
- 9. Neural Networks and Deep Learning（week4）深層神經網絡（Deep Neural Networks）
- 10. NeuralNetwork and DeepLearing----Shallow neural networks
- 更多相關文章...
- • C# 類（Class） - C#教程
- • SQL AND & OR 運算符 - SQL 教程
- • RxJava操作符（七）Conditional and Boolean
- • Java Agent入門實戰（一）-Instrumentation介紹與使用
相關標籤/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。
歡迎關注本站公眾號,獲取更多信息
相關文章
- 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）淺層神經網絡(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-引論
- 9. Neural Networks and Deep Learning（week4）深層神經網絡（Deep Neural Networks）
- 10. NeuralNetwork and DeepLearing----Shallow neural networks