It's hard to find the meaning of model parameters

[KVasya]

When I tried vanilla example with gpflow.models.GPR at
https://gpflow.github.io/GPflow/2.7.1/notebooks/getting_started/basic_usage.html
I got 3 params from
opt.minimize(model.training_loss, model.trainable_variables).
These are:
(<tf.Variable 'softplus:0' shape=() dtype=float64, numpy=10.45632338373065>,
<tf.Variable 'softplus:0' shape=() dtype=float64, numpy=18634.67877097158>,
<tf.Variable 'chain_of_shift_of_softplus:0' shape=() dtype=float64, numpy=1749.489587398229>).
The names are not very informative.
Could the names be changed to become more representative?