I have enrolled in a university deep learning competition on MRI image recovery. The problem is that I have little prior knowledge and experience in machine learning, although I know the very basic neural networks and how backpropagation works in a broad level. Fortunately the competition begins in July, so I have about 2 months to study and prepare, possibly 2-3 hours every day. My goal is to study Pytorch to a certain level and maybe replicate some known models and papers on MRI to get ready during the period. Realistically I know I have little chance of scoring high but want to learn and try out ML in this opportunity.
My question is: What resources would you recommend to grasp Pytorch and machine learning essentials during a 1-2 month period? Are there any advice when doing so?