Lecture 10.1 - Autoencoders [Introduction to 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. Learned automatically from examples