Lecture 101 Autoencoder

############################# Video Source: www.youtube.com/watch?v=iI_IMuFf9rw

Lecture 10.1: Autoencoder • Autoencoder • 1. Reproduce the input • 2. Unsupervised learning • 3. Supervised Learning • 4. Encoder-decoder • 5. Compare PCA/SVD • 6. Autoencoder • 7. Encoder • 8. Decoder • 9. Shallow • 10. Deep • 11. CNN • 12. Reconstruction • Feature Learning • 1. Define a loss function • 2. Image retrieval • 3. Optimize • Autoencoder- application • 1. Denoising • 2. Image colorization • 3. Anomaly detection • 4. Data-specific • 5. Lossy • 6. 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