I’m planning to build a multi-class classifier on a MNIST like dataset. Is there any standard architecture considered good for such datasets, esp. for using the transfer learning technique ?
I’ll probably also build a not-so-deep network from scratch as a learning exercise, but curious if there’s any ‘gold standard’ architecture for such datasets (MNIST in this case) ?
Suggestions/recommendations most welcome.