deeplearning在coursera总共有5章节，分别如下

1neural networks and deep learning

1.1introduction to deep learning

ReLU function: rectified linear unite 修正线性单元

1.1.1supervised learning with neural networks

some applications and their networks

最后一行autonomous driving是custom and highbrit neural network architecture

structured data: based on the database or list

1.2logistic regression as a neural network

1.2.1logistic regression

在引入神经网络之前，首先搭建模型，建立logistic regression模型

output: yhat = sigma * (w^T*x + b) = sigma(z) =1/(1+e^(-z))

1.3logistic regression cost function

coursera deeplearning

原文：https://www.cnblogs.com/yuyukun/p/12516454.html