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I created a simple CNN network to classifiy [plant diesses ](https://www.tensorflow.org/datasets/catalog/plant_village) which consists of 38 class, the data was devided to train test val (80,10,10) and achived a 92% accuracy on the test data, The model then was deployed useing flask and Heroku

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Plant-diesses-classfication-village-_data-web-application-herouku

I created a simple CNN network to classifiy plant diesses which consists of 38 class, the data was devided to train test val (80,10,10) and achived a 92% accuracy on the test data, The model then was deployed useing flask and Heroku

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I created a simple CNN network to classifiy [plant diesses ](https://www.tensorflow.org/datasets/catalog/plant_village) which consists of 38 class, the data was devided to train test val (80,10,10) and achived a 92% accuracy on the test data, The model then was deployed useing flask and Heroku

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