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Transfer Learning with non-Image, Feature Vector data

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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?

Risposte (1)

Rishik Ramena
Rishik Ramena il 19 Lug 2021
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.


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