I am a research scholar commencing my research in the field of deep learning. Deep learning uses lot of tools from mathematics. To name a few : linear algebra, probability and statistics, optimization.
My mathematical background is very shaky. When I read research papers in deep learning, I invariably skip the sections that are mathematically heavy. However, I can understand the higher level details, such as what the research work is about, what algorithm the authors have used, and so on. But I never have the feeling of completely understanding the paper.
I feel that I cannot do original research unless I become really strong in the above mentioned subjects in mathematics. Is this claim correct?
That said, can someone publish papers in deep learning without really understanding the mathematics behind it?