
Study on Applications of Convolutional Neural Networks
Author(s) -
Taiyaba Ansari,
Pallavi Singh,
Faiza Abid,
Abdul Razzaque
Publication year - 2022
Publication title -
international journal of advanced research in science, communication and technology
Language(s) - English
Resource type - Journals
ISSN - 2581-9429
DOI - 10.48175/ijarsct-3235
Subject(s) - expansive , convolutional neural network , depiction , computer science , scope (computer science) , face (sociological concept) , artificial intelligence , star (game theory) , field (mathematics) , natural language processing , cognitive science , psychology , linguistics , programming language , mathematics , physics , astrophysics , philosophy , compressive strength , pure mathematics , thermodynamics
As of now, profound learning is generally utilized in an expansive scope of fields. A convolutional brain organizations (CNN) is turning into the star of profound learning as it gives the best and most exact outcomes while breaking true issues. In this work, a short depiction of the utilizations of CNNs in two regions will be introduced: First, in PC vision, by and large, or at least, scene marking, face acknowledgment, activity acknowledgment, and picture arrangement; Second, in normal language handling, that is to say, the fields of discourse acknowledgment and text characterization.