Autoencoders

 Autoencoders

I was given a presentation on autoencoders and how they work at tfug hyd webinar.

Eaa3894b9cda69c88ec8f2c4d6cc28b5?s=128

uday kiran

May 03, 2020
Tweet

Transcript

  1. Autoencoders

  2. What is an autoencoder

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

  4. Encoder

  5. Latent vector

  6. Decoder

  7. Autoencoder

  8. Loss function

  9. Autoencoders with TF Encoder

  10. Autoencoders with TF Decoder

  11. Autoencoders with TF Training

  12. Applications of Autoencoders Image Reconstruction

  13. Applications of Autoencoders Dimensionality reduction

  14. Applications of Autoencoders Denoising data

  15. Applications of Autoencoders Image colorization

  16. Applications of Autoencoders Image/data generation

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

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

  20. Udaykiran.dev