Analytics Vidhya
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Analytics Vidhya

Image Anomaly Detection using Autoencoders

Explore Deep Convolutional Autoencoders to identify Anomalies in Images.

This article is an experimental work to check if Deep Convolutional Autoencoders could be used for image anomaly detection on MNIST and Fashion MNIST.

Autoencoder in a nutshell

Functionality: Autoencoders encode the input to identify important latent feature representation. It then decodes the latent features to reconstruct output values identical to the input values.

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Renu Khandelwal

Renu Khandelwal

Loves learning, sharing, and discovering myself. Passionate about Machine Learning and Deep Learning