Autoencoders come under the category of Unsupervised Deep Learning. This means that there are no labels for the input. They usually are generative models, i.e., they can create new images.
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| Schematic structure of an autoencoder with 3 fully-connected hidden layers. |
| Source: Wikipedia |
This repository contains my implementations for autoencoders. Currently there are 3 autoencoders:
- Vanilla Autoencoder
- Variational Autoecnoder
- Denosing Autoecnoder
- Convolutional Autoencoders with Symmetric Skip Connections
- TensorFlow
- Numpy
- Pandas
- Matplotlib
- OpenCV