Say I have a bunch of photos of my cat. Want to be able to use Raspberry PI to recognize my cat from the others.
How can I create the dataset to feed to your ML engine?
Would love to see end-to-end how-to, seriously.
We also use transfer learning a lot. Using transfer learning is but tricky because sometimes you might upset generalised weights of pretrained network with bad hyperparameters. We had written a blog before for using transfer learning as well