Anomaly detection

Contrastive Learning: Effective Anomaly Detection with Auto-Encoders

How to improve auto-encoders performance in anomaly detection tasks with Contrastive Learning and Keras

Facundo Santiago
7 min readAug 9, 2020

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I’m sure you have heard about auto-encoders before. They are neural networks trained to learn efficient data representations in an unsupervised way. They have been proof useful in a variety of tasks like data denoising or dimensionality reduction. However, with a vanilla configuration they…

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Facundo Santiago

Product Manager @ Microsoft AI. Graduate adjunct professor at University of Buenos Aires. Frustrated sociologist.