IMAGE PROCESSING USING CNN(CONVOLUTIONAL NEURAL NETWORKS)

Mirzayeva  Nargiza Muslim qizi

IMAGE PROCESSING USING CNN(CONVOLUTIONAL NEURAL NETWORKS)

Authors

Mirzayeva Nargiza Muslim qizi The Tashkent University of Information Technologies named after Muhammad ibn Musa al-Khwarizmi

Keywords:

Neural Networks, cross-fertilization, color images, the International Neural Network Society (INNS), the European Neural Network Society (ENNS), and the Japanese Neural Network Society (JNNS), CNN(Convolutional neural networks), MNIST Dataset, Multi-Layer Perceptrons.

Abstract

This article will explain convolutional neural networks, how deep their algorithm is, how they are created, where they are used, and why they are used and this article will explain to you how to construct, train and evaluate convolutional neural networks.

References

Bishop, C. M. (2006) Pattern Recognition and Machine Learning. Chapter 5: Neural Networks.

Schmidhuber, J. (2015). Deep Learning in Neural Networks: An Overview. Neural Networks 6.

Bengio, Y., LeCun, Y., Hinton, G. (2015). Deep Learning. Nature 521.

Goodfellow, I., Bengio, Y. and Courville, A. (2016) Deep Learning. MIT Press.

https://www.sciencedirect.com/journal/neural-networks

https://www.analyticsvidhya.com/blog/2021/06/image-processing-using-cnn-a-beginners-guide/

IMAGE PROCESSING USING CNN(CONVOLUTIONAL NEURAL NETWORKS)