Sparsity-Aware Orthogonal Initialization of Deep Neural Networks
Deep neural networks have achieved impressive pattern recognition and generative abilities on complex tasks by developing larger and deeper models, which are increasingly costly to train and implement. There is in tandem interest to develop sparse versions of these powerful models by post-processing...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10181312/ |