A Convolutional Autoencoder Topology for Classification in High-Dimensional Noisy Image Datasets
Deep convolutional neural networks have shown remarkable performance in the image classification domain. However, Deep Learning models are vulnerable to noise and redundant information encapsulated into the high-dimensional raw input images, leading to unstable and unreliable predictions. Autoencode...
Enregistré dans:
| Auteurs principaux: | , , |
|---|---|
| Format: | article |
| Langue: | EN |
| Publié: |
MDPI AG
2021
|
| Sujets: | |
| Accès en ligne: | https://doaj.org/article/5dd1ec8af35a4523a22dd4d2f89657f0 |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|