C1W2：Logistic Regression with a Neural Network mindset
文章目錄 目標 1. 準備工作 2. 處理數據 3. 建立模型 3.1 Helper function 3.2 Initializing parameters 3.3 Forward and Backward propagation 3.4 Optimization 3.5 Prediction 4. 合併功能函數 5. 測試圖像： 6. 繪製代價函數曲線 7. 測試自己的數據 目標 建立一個邏輯
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相關文章
- 1. Logistic-Regression-with-a-Neural-Network-mindset
- 2. DeepLearning編碼作業#Logistic Regression with a Neural Network mindset
- 3. 吳恩達 深度學習 編程做業（1-2）- Python Basics with Numpy & Logistic Regression with a Neural Network mindset
- 4. Andrew Ng Coursera week2 Logistic Regression with a Neural Network mindset 編程作業代碼祥注與數據集
- 5. deeplearning.ai 筆記 Specialization 1 week 2 Logistic Regression as a Neural Network
- 6. 神經網絡與深度學習（一）- Logistic Regression as a Neural Network
- 7. linear regression and logistic regression with pytorch
- 8. 神經網絡和深度學習-第2周 logistic-regression-as-a-neural-network
- 9. Implementing a Neural Network from Scratch in Python – An Introduction
- 10. 拼命三娘衝（20191121)_ Neural Network v.s. Logistic Regression