Keras TimeDistributed - total weight?

From keras docs : Then you can use TimeDistributed

to apply a layer Dense

to each of the ten timestamps independently:

# as the first layer in a model
model = Sequential()
model.add(TimeDistributed(Dense(8), input_shape=(10, 16)))
# now model.output_shape == (None, 10, 8)

# subsequent layers: no need for input_shape
model.add(TimeDistributed(Dense(32)))
# now model.output_shape == (None, 10, 32)

      

        
        
        
      

    

I can't find it anywhere, Are the layer weights Dense

separated along the time axis?