Are you trying to develop new ml Algo or nn architectures that aren't supported? Are you trying to optimize performance? Doesn't sound like it. Your research is the insights you generate, the stuff you use is just tools, no need to get into the business of tool-making

PS: if you study CS then it would be worth it to be able to code things from scratch, and understand some of the patterns used in the ml field (as opposed to other CS ones)