Do you have any advice, what architecture of neural network is the best for following task?
Let input be some (complex function), the neural network gains a flow of its values, so I guess there will be some kind of RNN or CNN?
The output is classifier like is the function same or not
- If the neural network thinks, that the input is still the same function, the output is 0.
- If the input function changes, the output will be 1.
The input function is of course not one value or simple math function (what will be trivial) but may be really sophisticated. So the neural network learns abstraction about same and different over any complex flow ?
How would you approach to that task ?