Search Results for author:
Found 2 papers, 0 papers with code
Exploiting the Full Capacity of Deep Neural Networks while Avoiding Overfitting by Targeted Sparsity Regularization
Overfitting is one of the most common problems when training deep neural networks on comparatively small datasets.
Barista - a Graphical Tool for Designing and Training Deep Neural Networks
In recent years, the importance of deep learning has significantly increased in pattern recognition, computer vision, and artificial intelligence research, as well as in industry.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
