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Applications of Image Recognition in Deep Learning

Fintelics
4 min readSep 13, 2021

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Applications of Image Recognition in Deep Learning

It’s nice to realize that we humans have built machines with our natural abilities: learning by instance and perceiving the outside world. The only issue is that more and more time and effort are needed to teach computers how to “see” like us. However, if we think about the real-world applications, this capability already brings us to companies and businesses, and the effort pays off.

Deep Learning — a machine learning technique that focuses on teaching machines to learn — has absolutely dominated computer vision (CV) over the last couple of years, succeeding on many tasks and their related competitions. One of the well-renowned competitions is ImageNet. The ImageNet competition tasks developers and researchers with developing a model that most precisely classifies the given images in the dataset.

Over the last few years, deep learning has made tremendous progress in this competition, even surpassing human performance. In this article, you will learn what image recognition is and some of the most common applications of image recognition in deep learning.

What is Image Recognition?

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Fintelics
Fintelics

Written by Fintelics

Software consulting company that focuses on emerging technology such as AI, Blockchain, Cloud Computing, and Data Engineering, MERN Stack, and Fintech

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