DeepLearning編碼作業#Logistic Regression with a Neural Network mindset
# 轉自 簡書 茶盡 https://www.jianshu.com/p/ca14a9e79c92 概述 本文主要內容：如何利用Python的來實現Logistic函數。包括：初始化、計算代價函數和梯度、使用梯度下降算法進行優化等並把他們整合成爲一個函數。本文將通過訓練來判斷一副圖像是否爲貓。 準備 在這個過程中，我們將會用到如下庫： numpy：Python科學計算中最重要的庫 h5py：P
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相關文章
- 1. Logistic-Regression-with-a-Neural-Network-mindset
- 2. C1W2：Logistic Regression with a Neural Network mindset
- 3. Andrew Ng Coursera week2 Logistic Regression with a Neural Network mindset 編程作業代碼祥注與數據集
- 4. 吳恩達 深度學習 編程做業（1-2）- Python Basics with Numpy & Logistic Regression with a Neural Network mindset
- 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. Deeplearning - Overview of Convolution Neural Network
- 8. linear regression and logistic regression with pytorch
- 9. 神經網絡和深度學習-第2周 logistic-regression-as-a-neural-network
- 10. Implementing a Neural Network from Scratch in Python – An Introduction