Understanding the Convolutional Neural Network & it’s Research Aspects in Deep Learning
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 6
Abstract
Convolutional Neural Network (CNN) is the most important Deep Neural Network (DNN) architecture to implement the Deep Learning’s application of data and pattern representation in an effective and efficient manner. It uses the idea of animal’s visual cortex organization to achieve connectivity pattern between its neurons. A receptive field is a restricted part of the space where a respond to stimuli are done by the individual cortical neurons. The main motivation behind the development of convolutional networks is the biological processes and CNNs are considered as the multilayer perceptrons’ variations that are designed for the purpose of providing the minimal usage of pre-processing. The major applications of convolutional neural network include image recognition, natural language processing, recommender systems and video recognition. We have tried to put an honest effort in this paper to analyze the Convolutional Neural Network (CNN) and the various developments made in its area of research.
Authors and Affiliations
Manish Kumar Singh, Prof. G S Baluja, Dr. Dinesh Prasad Sahu
Keywords
Related Articles
- EP ID EP24512
- DOI -
- Views 356
- Downloads 9
Retail Purchase and Tracking System
Retail Purchase and Tracking System is an application which allows customers to shop and purchase products online. This application will allow customers to view and order products online from any part of the world. This...
Watershed Protection and Management Using QGIS: Study Area of Borgoan Village, Sangli, Maharashtra. A review
Watershed management or protection implies the proper use of all land and water resources of a watershed for an optimum production with minimum hazard to natural resources. Delineated watersheds are required for HSPF mo...
Design and Fabrication of Manually Operated Wood Working Machine
this paper presents the concept of design and fabrication of manually operated wood working machine mainly for small wood factory. Today in this world every task have been made quicker and fast due to technology advance...
Survey on Education Institutional Solution
Implementation of Student Performance Analysis and Institute Solution using RDBMS is the web application on which the teacher are allow to insert the marks of the students obtain in the college exams (Test, Sessional, e...
Brain Tumour Segmentation Based on SFCM using Back Propagation Neural Network
Automatic defects detection in MR images is very important in many diagnostic and therapeutic applications. Because of high quantity data in MR images and blurred boundaries, tumour segmentation and classification is ve...