keras线性回归问题

[曼巴精神程序员]

import keras
from keras.models import Sequential
from keras.layers import Dense
import numpy as np
 
trX = np.linspace(-1, 1, 101)
trY = 3 * trX + np.random.randn(*trX.shape) * 0.33
model = Sequential()
model.add(Dense(input_dim=1, output_dim=1, init='uniform', activation='linear'))


weights = model.layers[0].get_weights()
w_init = weights[0][0][0]
b_init = weights[1][0]
print('Linear regression model is initialized with weights w: %.2f, b: %.2f' % (w_init, b_init))

谁能解释一下红色字体是什么意思吗？