Review of deep convolution neural network in image classification
With the development of large data age, Convolutional neural networks (CNNs) with more hidden layers have more complex network structure and more powerful feature learning and feature expression abilities than traditional machine learning methods. The convolution neural network model trained by the...
Main Authors: | Al-Saffar, Ahmed Ali Mohammed, Tao, Hai, Mohammed, Ahmed Talab |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2017
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/25484/ http://umpir.ump.edu.my/id/eprint/25484/ http://umpir.ump.edu.my/id/eprint/25484/1/UMP%20IR%202%20MOHAMMED.PCC15015.FSKKP.pdf |
Similar Items
-
Multiple convolutional neural network training for Bangla handwritten numeral recognition
by: Akhand, M. A. H, et al.
Published: (2016) -
Bangla handwritten numeral recognition using convolutional neural network
by: Akhand, M. A. H, et al.
Published: (2015) -
Bangla handwritten character recognition using convolutional neural network
by: Rahman, Md. Mahbubar, et al.
Published: (2015) -
Evolutionary Fuzzy ARTMAP Neural Networks for Classification of Semiconductor Defects
by: Zuwairie, Ibrahim, et al.
Published: (2014) -
Combining deep and handcrafted image features for MRI brain scan classification
by: Hasan, Ali M., et al.
Published: (2019)