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Transfer learning using a small dataset

I’m building an image classifier. I happen to have a small
dataset of ideal data. Can I train a model using this idealised
data, and somehow use it as a base for further training?

I’ve read through the docs; they all use ImageNet or
tensorflow-hub datasets. I can’t seem to find an example of using
your own data.

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