Deep Learning Architecture Reduction for fMRI Data

Deep Learning Architecture Reduction for fMRI Data

In recent years, deep learning models have demonstrated an inherently better ability to tackle non-linear classification tasks, due to advances in deep learning architectures. However, much remains to be achieved, especially in designing deep convolutional neural network (CNN) configurations. The nu...

Full description

Bibliographic Details
Main Authors: Ruben Alvarez-Gonzalez, Andres Mendez-Vazquez
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Brain Sciences
Subjects:
CNN
machine learning
deep learning
computer vision
transfer learning
Online Access:https://www.mdpi.com/2076-3425/12/2/235

Similar Items

Similar Items