Which of the following statement$($s$)$ about the initialization $1$ point of neural network weights is$/$are true?

Two different initializations of the same network could converge to different minima.

For a given initialization, gradient descent will converge to the same minima irrespective of the learning rate.

The weights should be initialized to a constant value.

The initial values of the weights should be sampled from a probability distribution.