A trained neural network is like a horrible huge spaghetti code ball you've inherited after a programmer ran over by a bus that for some miraculous reason happens to be working mostly correctly.
However, you won't be able to understand why or how it works. That also means you won't be able to modify/improve/fix it using systematic methods. Only trial and error and it will be 'error' most of the time.
However, you won't be able to understand why or how it works. That also means you won't be able to modify/improve/fix it using systematic methods. Only trial and error and it will be 'error' most of the time.