Using deep learning

what are the key areas to do a research

Your question might be a bit too general for this PyTorch discussion board, as we are mostly focused on the framework itself.

You need to specify an application domain (nlp, image classification, etc.). Then, you may investigate for the suitable deep learning model for the specified application domain. After finding the right neural network model, you can try to implement it with a framework (PyTorch, Tensorflow, etc).

Thank you for the quick response and insights as well. I’m working on my master’s thesis, and my interests include machine learning, deep learning, and natural language processing. I would like to have some intellectual advice on which areas within my areas of expertise I can dwell on to contribute significantly to the body of knowledge.