PCA is neat but surely we can do better. This time we want you to build a deep convolutional autoencoder by... stacking more layers. Encoder The encoder part is pretty standard, we stack convolutional ...

The image will be encoded into a lower-dimensional representation by an autoencoder, which will subsequently decode the representation back to the original image. To obtain an identical output to the ...

Three-Dimensional Convolutional Autoencoder Extracts Features of Structural Brain Images With a “Diagnostic Label-Free” Approach: Application to Schizophrenia Datasets ...

Enter the convolutional autoencoder, a specialized variation leveraging convolutional layers, particularly beneficial for processing spatially structured data like images, audio, or video.

A blind convolutional deep autoencoder for spectral unmixing of hyperspectral images over waterbodies Estefanía Alfaro-Mejía 1* Vidya Manian 1 Joseph D. Ortiz 2 Roger P. Tokars 3 ...

In order to minimize inference time and computational energy, a convolutional autoencoder is used for learning a generalized representation of the images. Three scenarios are analyzed: transferring ...