CS5720 - Applications of Autoencoders

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Remove noise and artifacts from images while preserving important features

Example: Clean up old photographs, improve medical imaging quality

🚨

Identify unusual patterns by measuring reconstruction error

Example: Detect fraudulent transactions, identify defective products

📦

Reduce data size while maintaining essential information

Example: Compress images for storage, reduce network bandwidth

✨

Create meaningful features for downstream tasks

Example: Pre-process data for classification, create embeddings

Autoencoder in Action: Image Reconstruction

Original Image

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High-resolution input

Compressed (Latent)

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32-dimensional vector

Reconstructed

🖼️

Decoded output