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Garden Nerd : Flower Recognition Deep Learning Challenge

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Posted July 24, 2019

Deep learning is an application of artificial intelligence (AI) that provides systems with the ability to automatically learn and improve from experience without being explicitly programmed. Deep Learning is a science that determines patterns in data. These patterns provide deeper meaning to problems and help you to first understand problems better and then solve the same with elegance. This challenge is designed to help you improve your deep learning skills by competing and learning from fellow participants.

Image credit: Alvesgaspar/Wikipedia/CC BY-SA 3.0

Dataquest is an online education platform that teaches data science and programming skills from right in your browser. Learn Python, R, SQL, machine learning, statistics, the command line, Git, Spark, data engineering, and much more in our carefully-crafted course paths, which give you the skills you need to work in data science, even if you have no background in programming or statistics. Learn more about Deep Learning on Dataquest.

Problem statement

For several years, flower recognition in the wildlife has been an area of great interest among biologists. Recognition of flower in environments such as forests and mountains is necessary to know whether they are extinct or not. While search engines assist in searching for a flower, it lacks robustness because of the intra-class variation among millions of flower species.

Submission to this Challenge must be received by 09:25 PM EEST Sep 22, 2019.

Source: HackerEarth

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