I spent this week looking into potential model architectures and machine learning paradigms for use in our project. In this research I found that one of the best pre-built models included in pytorch is Microsoft’s ResNet, a deep residual convolutional neural network. I’ve decided to train this model as an intermediary to be used in the development of our project while our custom model is trained, tested, and tweaked.
I looked into transfer learning as suggested by Professor Tamal and have found the concept interesting enough to warrant further investigation as to how it would aid in the training of our model.
Further, time I spent some time creating slides for the design presentation and practicing my presentation.