Impact Factor
7.883
Call For Paper
Volume 12 Issue 07
July 2026
Author(s)
Vijay Swaroop A Prekshitha S Supriya P Soujanya G Kiragi, Zaiba Farheen
Abstract
Here, We Inspect The Outcome Of The Convolutional Network Depth On Its Correctness In The Large-scale Image Recognition Tasks. The Chief Role Is Thorough Valuation Of Networks Of Increasing Deepness By Means Of An Architecture With Small (3 × 3) Convolut
Keywords
Deep Convolutional Neural Networks
ImageNet
Feature Extraction
Classification
Random Forest
Regression.
Paper ID
IJSARTV5I431153
Publication Date
April 23, 2019
Research Area
Deep Learning