Deep Learning Applications

Document Type

Conference Proceeding

Publication Date

1-1-2024

Publication Title

Proceedings of the International Symposium on Intelligent Signal Processing and Communication Systems Ispacs

Abstract

This article presents an in-depth look at deep learning, a branch of machine learning that emphasizes training artificial neural networks with multiple layers to carry out intricate tasks with little human oversight. It explores the foundational concepts of artificial neural networks, highlighting their brain-inspired structure, layered architecture, and the processes by which they learn and extract features from data. The article delves into the training methods for optimizing these networks, including large datasets, backpropagation, and optimization algorithms. Additionally, it examines the wide-ranging applications of deep learning across various domains, such as computer vision, natural language processing, and complex gaming. Through this exploration, the article illustrates the power and versatility of deep learning, emphasizing its transformative impact on technology and its potential to drive innovation across numerous fields.

Issue Number

2024

DOI

10.1109/ISPACS62486.2024.10869071

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