Image Enhancement and Classification of CIFAR-10 Using Convolutional Neural Networks-Reference-Cited by-同舟云学术

Image Enhancement and Classification of CIFAR-10 Using Convolutional Neural Networks

Published:2022-01-20 Issue: Volume: Page:
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Container-title:2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT)
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Author:

Divya Siripuri¹,Adepu Bhaskar²,Kamakshi P.²

Affiliation:

1. Kakatiya Institute of Technology & Science,Data science,Warangal,India

2. Kakatiya Institute of Technology & Science,Dept. of IT,Warangal,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9716239/9716227/09716555.pdf?arnumber=9716555

Reference21 articles.

1. Cifar-10 Image Classification with Convolutional Neural Networks for Embedded Systems

2. Very deep convolutional neural network based image classification using small training sample size;shuying;2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR),0

3. Preprocessing for image classification by convolutional neural networks

4. Automatically designing CNN architectures using the genetic algorithm for image classification;sun;IEEE Transactions on Cybernetics,2020

5. Deep Learning Models Based on Image Classification: A Review;obaid;International Journal of Science and Business,2020

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