【学习笔记】WEEK2_Python and Vectorization_Vectorizing Logistic Regression
2018-03-29 10:40
399 查看
1、训练样本矩阵X为(n_x, m)型，各个样本列排
2、权重向量w为(n_x, 1)型、偏置向量b为(1, m)型
3、numpy模块：矩阵转置
w.T
4、python：当一个向量与一个实数相加时，向量中的每一个元素都与此实数相加
5、逻辑回归模型的前向传播步骤
6、随堂测验
2、权重向量w为(n_x, 1)型、偏置向量b为(1, m)型
3、numpy模块：矩阵转置
w.T
4、python：当一个向量与一个实数相加时，向量中的每一个元素都与此实数相加
5、逻辑回归模型的前向传播步骤
6、随堂测验
内容来自用户分享和网络整理，不保证内容的准确性，如有侵权内容，可联系管理员处理 
相关文章推荐
- 【学习笔记】WEEK2_Python and Vectorization_Vectorizing Logistic Regression's Gradient Output
- 【学习笔记】WEEK2_Python and Vectorization_Explanation of logistic regression cost function (optional)
- 【学习笔记】WEEK2_Logistic Regression as a Neural Network_Gradient Descent on m Examples
- 【学习笔记】WEEK2_Logistic Regression as a Neural Network_Binary Classification
- 【学习笔记】WEEK2_Logistic Regression as a Neural Network_Logistic Regression Cost Function
- 【学习笔记】WEEK2_Logistic Regression as a Neural Network_More Derivative Examples
- 【学习笔记】WEEK2_Logistic Regression as a Neural Network_Gradient Descent
- 【学习笔记】WEEK2_Logistic Regression as a Neural Network_Logistic Regression
- 【学习笔记】WEEK2_Logistic Regression as a Neural Network_Logistic Regression Gradient Descent
- 【学习笔记】WEEK2_Logistic Regression as a Neural Network_Derivatives with a Computation Graph
- 【学习笔记】WEEK2_Logistic Regression as a Neural Network_Derivatives
- 【学习笔记】WEEK2_Logistic Regression as a Neural Network_Computation graph
- 【deep learning学习笔记】注释yusugomori的LR代码 --- LogisticRegression.cpp
- 【LR学习笔记】Parallel Large Scale Feature Selection for Logistic Regression_2009
- 斯坦福机器学习视频笔记 Week2 多元线性回归 Linear Regression with Multiple Variables
- 【学习笔记】WEEK2_Python and Vectorization_A note on python/numpy vectors
- 吴恩达 深度学习第三周 浅层神经网络 logistic_regression python代码实现
- python学习笔记（week1）
- 【学习笔记】WEEK2_Python and Vectorization_Vectorization
- 林轩田之机器学习课程笔记（ embedding numerous feature之 kernel logistic regression）（32之21）