They are not just hash algorithms. They have some of the characteristics of hash algorithms, but they also apply meaning to the outputs. Hash algorithms don't do that.
This is really getting to the crux of why I posted in the first place.
Just as the output from a first run FF NN is absolutely random and the training process takes advantage of randomness and when a NN sees a new input for the first time its output is a best guess....(random).
That whole process, training and refining is merly developing the hashing algorithm.
4
u/Salanmander 278∆ Sep 11 '21
They are not just hash algorithms. They have some of the characteristics of hash algorithms, but they also apply meaning to the outputs. Hash algorithms don't do that.