PyTorch 深度学习之逻辑斯蒂回归Logistic Regression(五)

Revision-Linear Regression

Classfication

The MNIST dataset

train: 训练集还是测试集

The CIFAR-10 dataset

1. Regression VS Classfication

输出概率

1.1 How to map [0,1]

导数: 正态分布

1.2 Sigmoid functions

2. Logistic Regression model

loss function for Binary Classification

Cross-entropy 交叉熵

两个分布中间差异性大小 越大越好

BCE

Mini-Batch loss function for binary classification

分布接近

3. Implementation

Total:

result: