Downward-Growing Neural Networks
A major issue in the application of deep learning is the definition of a proper architecture for the learning machine at hand, in such a way that the model is neither excessively large (which results in overfitting the training data) nor too small (which limits the learning and modeling capabilities...
Main Authors: | Vincenzo Laveglia, Edmondo Trentin |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-04-01
|
Series: | Entropy |
Subjects: | |
Online Access: | https://www.mdpi.com/1099-4300/25/5/733 |
Similar Items
-
Depth-Adaptive Deep Neural Network Based on Learning Layer Relevance Weights
by: Arwa Alturki, et al.
Published: (2022-12-01) -
A New Cascade-Correlation Growing Deep Learning Neural Network Algorithm
by: Soha Abd El-Moamen Mohamed, et al.
Published: (2021-05-01) -
Neural Architecture Search for Lightweight Neural Network in Food Recognition
by: Ren Zhang Tan, et al.
Published: (2021-05-01) -
Methods for Pruning Deep Neural Networks
by: Sunil Vadera, et al.
Published: (2022-01-01) -
A research on underwater target recognition neural network for small samples
by: WU Yanchen, et al.
Published: (2022-02-01)