How can I have the same initialization for all my networks?
You need to specify the seed in the initializer, e.g:

from keras.initializers import RandomUniform

seed = 0

model.add(Dense(64, kernel_initializer = RandomUniform(minval = -0.05, 
                                                       maxval =  0.05, 
                                                       seed = seed)))