I'm writing this because I'm in a real trouble and I need to hear from experienced people.
I'm new here so please excuse me if I get anything wrong. I'm doing my masters in Deep Learning and I'm having toughest time ever.
I have a research paper very similar to what I wish to make, with the codes in Python which is working fine and is giving results. The problem is I can't understand that code it's beyond my knowledge.
I read books looking at codes but couldn't achieve that level of being able to understand the code or the paper.
The paper is about Recurrent Nueral Networks and motion prediction.
Unfortunately I'm not good at Python or Deep Learning and feel like I'm really stuck.
My supervisor didn't know much about Deep Learning but he approved my proposal. Now I don't know what to do. Should I stick to the topic and take courses in Deep Learning like the one in Coursera even if It means to take extensions beyond the deadline?
Or should I change the topic completely?
I asked my supervisor and he was against changing the topic he suggested to simplify the topic and choose something simpler than Deep Learning like interpolation. He said that submitting a proposal will take time and it's not guaranteed that your new topic will be easier than your current topic.
I tried to find some codes about interpolation motion data to begin with but can't find anything related to my topic.
I'm not lazy at all, I love researching and I have hundreds of codes in my machine but still can't understand the code I have about RNNs.
I contacted the authors of that paper but they weren't cooperative.
I feel like I ran out of energy and very confused.
If you were in the same situation what would you do?