I know that when creating neural networks it's standard practice to create a 'random seed' so that you can get producible results in your models. I have a couple of questions regarding this:
- Is the seed just something that is used in the 'learning' phase of the network or does it get saved? i.e. is it saved into the model itself and used by others if they decide to implement a model you created?
- Does it matter what you choose to be the seed? Should the number have a certain length?
- At what step of the creation of a model does this seed get used and how does it get used?
Other information about 'random seeds' would be welcomed! But these are my general questions.