Thanks for feedback. What could we possibly to do make it easier to follow the intermediate steps?

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.

actually, you might try this: https://azure.microsoft.com/en-us/services/cognitive-service...

lets you customize a neural net with a small number of specific images (using a technique called 'transfer learning')

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

https://medium.com/nanonets/nanonets-how-to-use-deep-learnin...

Another great tutorial I have found is the guy who runs an AI on twitch that plays GTA-V. Here is his object detection tutorial playlist.

https://www.youtube.com/watch?v=COlbP62-B-U&list=PLQVvvaa0Qu...

Added a section in blog to explain end to end usage