A Comparative Analysis of Machine Learning and Deep Learning Algorithms for Image Classification
Image classification is a popular and important area of image processing research in today's society. For machine learning, SVM is a very good classification model. CNN is a type of convolution neural network that has an unpredictable development and uses convolution calculations. It is one of...
Saved in:
Main Authors: | Madanan M., Gunasekaran S.S., Mahmoud M.A. |
---|---|
Other Authors: | 57203784027 |
Format: | Conference Paper |
Published: |
Institute of Electrical and Electronics Engineers Inc.
2024
|
Subjects: | |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Convolutional Neural Network approach for different leaf classification
by: Ahmad Nazri, Ali, et al.
Published: (2023) -
Object Recognition Using Convolutional Neural Network Architecture
by: Prasantth a/l Subramaniam
Published: (2023) -
Sign Language to Speech Translator Using Deep Learning
by: Amirul Hakim Bin Azmi
Published: (2023) -
Enhancing CNN for Forensics Age Estimation Using CGAN and Pseudo-Labelling
by: Alkaabi S., et al.
Published: (2024) -
Heart Attack Prediction with Deep Learning
by: Syasya Putri binti Mohamad Razauddin
Published: (2023)