Lesson 20 神經(jīng)網(wǎng)絡簡介
神經(jīng)網(wǎng)絡(Artificial Neural Network)
全程為人工神經(jīng)網(wǎng)絡,是一種模仿生物神經(jīng)網(wǎng)絡的結(jié)構(gòu)和功能的非線性統(tǒng)計數(shù)據(jù)模型
Sigmoid函數(shù)是最簡單的神經(jīng)網(wǎng)絡模型
![Neural Network](https://timgsa.baidu.com/timg?image&quality=80&size=b9999_10000&sec=1502990671766&di=2fcea592b8a0781b299aaa5036ed1baf&imgtype=0&src=http://i.dimg.cc/d3/e7/37/66/7b/4f/bd/31/b0/95/f6/e0/17/78/89/35.jpg)
Neural Network
API小結(jié):
mpcModel = MLPClassifier(
hidden_layer_sizes, activation='relu'
)
#hidden_layer_sizes: 隱藏層層數(shù)
#activation: 激活函數(shù)栅干,默認為relu
activation激活函數(shù)
- relu: 線性糾正函數(shù)迈套,優(yōu)于logistics和tanh
- logistic: logistic 函數(shù)
- tahn: tahn函數(shù) tanh(x)=2sigmoid(2x)?1
sigmoid_vs_tahn.png