Secure communication and implementation of handwritten digit recognition using deep neural network

被引：0
|
作者：
Abdulrahman Saad Alqahtani
A. Neela Madheswari
Azath Mubarakali
P. Parthasarathy
机构：
[1] Bisha University,Department of Computer Science, College of Computing and Information Technology
[2] Mahendra Engineering College,CSE Department
[3] King Khalid University,College of Computer Science
[4] CMR Institute of Technology,undefined
来源：
Optical and Quantum Electronics | 2023年 / 55卷
关键词：
Optical neural network; Deep learning; Optical character; MNIST;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Machine Learning is an important field of research in current trends. The extended field of machine learning is Deep Learning and is used for various research areas such as neural networks, image and signal processing, pattern recognition, etc. The handwritten digit recognition is an important task or process included in various applications such as car number plate recognition, staff identity number detection, etc. This paper proposed the design and analysis of various deep learning algorithms such as deep neural networks, convolutional neural networks, LeNet-5, AlexNet and MiniVGGNet for handwritten digit recognition using MNIST dataset.
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