Machine Learning - Coursera week5 cost function and backpropagation 1
1. cost function 這個多類別分類的神經網絡和二分類的輸出個數不同，二分類只有一個輸出，二多分類模型有多個輸出。多分類模型的輸出也用one-hot碼錶示。 變量的定義： L = total number of layers in the network sl s l = number of units (not counting bias unit) in layer l K = n
相關文章
- 1. Machine Learning - Coursera week5 cost function and backpropagation 2
- 2. Machine Learning - Coursera week5 Backpropagation in Practice
- 3. Machine Learning (1) Introduction & Model and Cost Function
- 4. 【Machine Learning, Coursera】機器學習Week5 Neural Networks: Backpropagation in Practice
- 5. 【Machine Learning, Coursera】機器學習Week5 Neural Networks: Learning
- 6. Coursera-Machine-Learning-Review-W5
- 7. Machine Learning - Coursera week1
- 8. 【MATLAB】Machine Learning (Coursera Courses Outline & Schedule)
- 9. Ex04 [coursera] Machine learning - Stanford University - Andrew Ng
- 10. Model and Cost Function
- 更多相關文章...
- • Docker Machine - Docker教程
- • SQL MIN() Function - 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. Machine Learning - Coursera week5 cost function and backpropagation 2
- 2. Machine Learning - Coursera week5 Backpropagation in Practice
- 3. Machine Learning (1) Introduction & Model and Cost Function
- 4. 【Machine Learning, Coursera】機器學習Week5 Neural Networks: Backpropagation in Practice
- 5. 【Machine Learning, Coursera】機器學習Week5 Neural Networks: Learning
- 6. Coursera-Machine-Learning-Review-W5
- 7. Machine Learning - Coursera week1
- 8. 【MATLAB】Machine Learning (Coursera Courses Outline & Schedule)
- 9. Ex04 [coursera] Machine learning - Stanford University - Andrew Ng
- 10. Model and Cost Function