Transfer Learning with non-Image, Feature Vector data

Hello, all

I am looking to use the DeepNetworkDesigner, as I have learned that it is useful for transfer learning. Unfortunately, most of the documentation concerns image-typed data. I am looking to use the DeepNetworkDesigner on data that is not an image. My data are simple feature vectors. All of the examples I have found are for image-data.

My inclination is to import the data as a datastore. I have not used datastores before, and I also do not know how to format them for the DeepNetworkDesigner.

Does anyone have experience with this and can they point me in the right direction?

Luke

Answer 1

[Rishik Ramena]

This page here has resources to help you with importing data into DeepNetworkDesigner. To help you on using datastores in DeepNetworkDesigner, here's a comprehensive resource to help you ramp up.