Application of Deep Learning in Algorithm Design

  • Jiang Y
N/ACitations
Citations of this article
5Readers
Mendeley users who have this article in their library.

Abstract

Deep learning has recently subverted algorithm design ideas in one and one fields, such as speech recognition, image classification, and text notification, by forming a model that begins with training data, goes through an end-to-end model, and then a new mode for direct output to obtain the final result. This not only makes everything easier, but because each layer in deep learning can tune itself for the final task, eventually cooperating between the layers, it can greatly improve task accuracy. This paper primarily introduces what deep learning is, the deep learning principle, and the application of deep learning in people's lives. This paper analyzes and clarifies the future development direction of deep learning and its practical application in many different fields, so as to offer some references for future studies.

Cite

CITATION STYLE

APA

Jiang, Y. (2023). Application of Deep Learning in Algorithm Design. Applied and Computational Engineering, 8(1), 87–92. https://doi.org/10.54254/2755-2721/8/20230087

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free