Autoencoders

Transcript

1. 1.

   Autoencoders

2. 2.

   What is an autoencoder

3. 3.

   Important Properties 1. Data-specific 2. Lossy 3. Unsupervised

4. 4.

   Encoder

5. 5.

   Latent vector

6. 6.

   Decoder

7. 7.

   Autoencoder

8. 8.

   Loss function

9. 9.

   Autoencoders with TF Encoder

10. 10.

    Autoencoders with TF Decoder

11. 11.

    Autoencoders with TF Training

12. 12.

    Applications of Autoencoders Image Reconstruction

13. 13.

    Applications of Autoencoders Dimensionality reduction

14. 14.

    Applications of Autoencoders Denoising data

15. 15.

    Applications of Autoencoders Image colorization

16. 16.

    Applications of Autoencoders Image/data generation

17. 17.

    Applications of Autoencoders • Sequence to sequence prediction ◦ predict

    the next frame of a video ◦ generate fake videos • Recommendation system • Feature Extraction • Image Compression • latent space clustering
18. 18.

    1. Sparse Autoencoder 2. Autoencoder 3. Convolutional Autoencoder 4. Denoising

    5. Sequence-to-sequence Autoencoder 6. Variational Autoencoder Types of Autoencoders
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    Any Questions??

20. 20.

    Udaykiran.dev