Artificial Neural Networks have many popular variants that are applied in supervised and unsupervised learning problems. The Autoeconders are also a variant of neural networks that are mostly applied in unsupervised learning problems. When they come with multiple hidden layers in the architecture, they are referred to as the Deep Autoencoders. These models can be applied in a variety of applications including image reconstruction. In image reconstruction, they learn the representation of the input image pattern and reconstruct the new images matching to the original input image pattern. Image reconstruction has many important applications especially in the medical field where the decoded and noise-free images are required from the available incomplete or noisy images.
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