As mentioned several times in heroes of deeplearning interviews, it is said that we should implement our own algorithm to better understand deep learning. I decided to do so, and starting with a simple linear regression and gradient descent (in Rust).
How should I test my algorithm ?
Should I compare it to existing library ?
Thank you in advance.