Deep Learning Theory and Applications

Beschreibung

This book constitutes the refereed post-proceedings of the First International Conference and Second International Conference on Deep Learning Theory and Applications, DeLTA 2020 and DeLTA 2021, was held virtually due to the COVID-19 crisis on July 8-10, 2020 and July 7–9, 2021.
The 7 full papers included in this book were carefully reviewed and selected from 58 submissions. They present recent research on machine learning and artificial intelligence in real-world applications such as computer vision, information retrieval and summarization from structuredand unstructured multimodal data sources, natural language understanding andtranslation, and many other application domains.

Autor*in

Ana Fred

Themen in »Deep Learning Theory and Applications«

Models and Algorithms Machine Learning Big Data Analytics Computer Vision Natural Language Understanding Recurrent Neural Network Convolutional Neural Networks Deep Hierarchical Networks Evolutionary Methods Generative Adversarial Networks Meta-Learning and Deep Networks Deep Reinforcement Learning Graph Representation Learning Semantic Indexing Image Classification

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