Autoencoder
Neural Networks
Neural network that learns compressed representations
What is Autoencoder?
Encodes input to compressed representation, then decodes back to original. Learns important features by reconstruction.
Real-World Examples
- •Image compression
- •Anomaly detection
- •Denoising
- •Dimensionality reduction
When to Use This
For compression, feature learning, or anomaly detection
Related Terms
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