What does an Input layer of shape=(None,) or (None,12) actually mean?
In tf.keras, a None dimension means that it can be any scalar number, so that you use this model to infer on an arbitrarily long input. This dimension does not affect the size of the network, it just denotes that you are free to select the length (number of samples) of your input during testing.