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Using Auto Encoder
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Currently implemented: VAE and autoencoder - Loss for AE is column wise Damage - Loss for VAE is KL divergence + L1
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Test set meant to pass as one batch, and in last epoch, will save generated images in Experiment folder
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Input to model is Adult data without 'sex' and 'income'
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'sex' column in output is the original, unchanged values
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Various Deep Learning architecture attempting to reconstruct user profiles sanitized through different techniques
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