The math to implement a working neural net is indeed simple. Even if you consider all the commonly used engineering practices to ensure its correctness and impr

The math to implement a working neural net is indeed simple. Even if you consider all the commonly used engineering practices to ensure its correctness and improve its accuracy (like dealing with under/over-fitting), it's still not that hard. In the end, it's just doing multiplications over matrices, calculating derivatives and propagating values back and forth. Now, to understand WHY the algorithms work, and gives you the result it claims to calculate, is quite hard, but that understanding is not required to implement those algorithms.