High Impact Factor : 7.883
Submit your paper here

Impact Factor

7.883


Call For Paper

Volume: 11 Issue 02 February 2025


Download Paper Format


Copyright Form


Share on

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

  • Author(s):

    Vijay Swaroop A | Prekshitha S | Supriya P | Soujanya G Kiragi, Zaiba Farheen

  • Keywords:

    Deep Convolutional Neural Networks, ImageNet, Feature Extraction, Classification, Random Forest, Regression.

  • 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

Other Details

  • Paper id:

    IJSARTV5I431153

  • Published in:

    Volume: 5 Issue: 4 April 2019

  • Publication Date:

    2019-04-23


Download Article