Autoencoder (AE)
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Tags: knowledge
Overview
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Introduction
- auto-encoder is a neural network architecture that encodes an input image onto an embedding layer
Variational Auto-Encoder
- specialized form of traditional architecture that project the input data onto a probability distribution (usually a Gaussian distribution)
- 2 loss functions
- Mean Squared Error (MSE) to calculate loss between output image and GT
- KL Divergence to calculate statistical distance between true distribution and approximating distribution
Questions
- how are AEs generative?