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Volume 5, Issue 4 (April 2019)

Very Deep Convolutional Networks And Random Forest Used In Image Processing Techniques

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7.883
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Volume 12 Issue 07

July 2026

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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

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