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Regarding adding examples of semi-supervised image classification with GANs #59

Closed sayakpaul closed 1 year ago

sayakpaul commented 4 years ago

Now that the fields of semi-supervised and self-supervised learning are becoming more and more important, I wish to cover an example showing how to train GANs for semi-supervised image classification (can be referred to as weakly supervised learning too).

I have a Colab Notebook that might be useful. If this proposal is accepted I will, of course, adhere to the Keras blog format. I used tf.GradientTape (did not override train_step) as I found it was actually more readable that way.

Note: In order to show the full potential of using GANs in this context, one might need to train longer than shown here.

sayakpaul commented 4 years ago

@fchollet did you have the chance to consider it? If not I can definitely understand you might have been swamped :)

fchollet commented 4 years ago

What's the TL;DR of what the code does?

sayakpaul commented 4 years ago

It shows how to use a vanilla DCGAN for image classification in a semi-supervised way. The benefit we get here is this technique can really shine when we don't have access to a lot of labeled data. It's, in fact, a minimal implementation of this paper.

fchollet commented 4 years ago

I think it's somewhat too experimental and not practical enough to be featured as a code example. But a state-of-the-art semi-supervised classification example would be great I think.

sayakpaul commented 4 years ago

When proposing this idea, my understanding was that a lot of people would be interested in the workflow that uses GANs for semi-supervised learning problems. I will drop it if it does not reflect that thought.

But a state-of-the-art semi-supervised classification example would be great I think.

Any recommendations?

sachinprasadhs commented 1 year ago

Hi @sayakpaul , Just checking if this is issue is still valid. If not, could you please close the issue. Thanks!

github-actions[bot] commented 1 year ago

This issue is stale because it has been open for 14 days with no activity. It will be closed if no further activity occurs. Thank you.

github-actions[bot] commented 1 year ago

This issue was closed because it has been inactive for 28 days. Please reopen if you'd like to work on this further.