What i really want to do, is to predict an integer sequence of (5 numbers with values from 1 to 50) for example based on a big dataset of other 5 numbers sequences with same values range created by the same random number generator. I suppose there is a way to train based on the dataset and the program will find a pattern or based on the most common numbers predict the next number sequence. The more numbers will predict in the sequence correctly the better of course. Any help, directions and preferably python code would be greatly appreciated.
I recently read the following can-a-neural-network-be-used-to-predict-the-next-pseudo-random-number and i am new to the AI field. The proposed code while it creates a sequence of 25 numbers it ends showing 20 numbers i do not understand why. It seems they try to do something similar if i understand correctly
I tried The code here can-a-neural-network-be-used-to-predict-the-next-pseudo-random-number
It shows always the same numbers no matter how many epochs and or iterations i do is that normal? Is the last code close to what i want to accomplish?
Thanks in advance.