Deep Learning Theory and Applications

Beschreibung

This book constitutes revised selected papers from the 6th International Conference on Deep Learning Theory and Applications, DeLTA 2025, which took place in Bilbao, Spain, during June 12-13, 2025.

The 9 full papers and 13 short papers presented in this volume were carefully reviewed and selected from 42 submissions. The conference is focusing on models and algorithms; machine learning; Big Data analytics; computer vision applications; and natural language understanding. 

Autor*in

Allel Hadjali

Themen in »Deep Learning Theory and Applications«

Models and Algorithms machine learning Big Data Analytics Computer Vision Applications Natural Language Understanding Recurrent Neural Network Convolutional Neural Networks Deep Hierarchical Networks Evolutionary Methods Generative Adversarial Networks Meta-Learning and Deep Networks Deep Metric Learning Methods Deep Reinforcement Learning Learning Deep Generative Models Graph Representation Learning

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