Open AccessClassification of Bacterial Image Dataset with Fusion using DNN-PCA Method
Author(s) -
Saloni Chandok,
Er. Harmeet Singh
Publication year - 2022
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2022.40646
Subject(s) - computer science , artificial intelligence , convolutional neural network , image (mathematics) , pattern recognition (psychology) , feature (linguistics) , matlab , deep learning , data mining , philosophy , linguistics , operating system
The fundamental test of picture de-obscuring is to devise effective and dependable calculations for recuperating however much data as could reasonably be expected from the given information. The use of DBN network in existing system works only to reduce error in system. Due to this, it requires better deep learning method for improving accuracy of system. The CNN method uses only 2 convolutional layers for feature mapping. But the proposed method uses 5 convolutional layers and 3 overlapping layers. Due to this, it helps to improve accuracy of system as compared to other existing methods. Keywords: Image Classification, Machine Learning, Deep Learning, MATLAB etc.