Y=w1* x1+w2* x2+b
2 keras实现import pandas as pd
import keras
from keras import layers
data=pd.read_csv('./Advertising.csv')
print(data.head())
x=data[data.columns[0:-1]]
y=data.iloc[:,-1]
print(x)
print(y)
model=keras.Sequential()
model.add(layers.Dense(1,input_dim=3))
print(model.summary())
model.compile(optimizer='adam',
loss='mse'
)
model.fit(x,y,epochs=2000)
print(model.predict(pd.DataFrame([[300,0,0]])))