Recent advances in deep learning models: a systematic literature review

• Published in: Multimedia tools and applications Vol. 82; no. 29; pp. 44977 - 45060
• Main Authors: Malhotra, Ruchika, Singh, Priya
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.12.2023; Springer Nature B.V
• Subjects: Artificial neural networks; Computer Communication Networks; Computer Science; Data Structures and Information Theory; Datasets; Deep learning; Generative adversarial networks; Literature reviews; Machine learning; Multimedia Information Systems; Neural networks; Progressions; Recurrent neural networks; Special Purpose and Application-Based Systems; Convolutional Neural Network; Autoencoder; Recurrent Neural Network; Transformer Neural Network; Generative Adversarial Network; Long Short-Term Memory; Deep Learning
• ISSN: 1380-7501; 1573-7721
• DOI: 10.1007/s11042-023-15295-z

In recent years, deep learning has evolved as a rapidly growing and stimulating field of machine learning and has redefined state-of-the-art performances in a variety of applications. There are multiple deep learning models that have distinct architectures and capabilities. Up to the present, a larg...