English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Zendy Plus

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Zendy Tools

Zendy Open

The field of artificial neural network (ANN) training has garneredsignificant attention in recent years, with researchers exploring variousmathematical techniques for optimizing the training process. In particular,this paper focuses on advancing the current understanding of gradient flow andgradient descent optimization methods. Our aim is to establish a solidmathematical convergence theory for continuous-time gradient flow equations andgradient descent processes based on mathematical anaylsis tools.

Convergence results for gradient flow and gradient descent systems in the artificial neural network training