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About Banana Classification Using Deep Learning: Ahmed F. Al-Daour, Mohammed O. Al-Shawwa, Samy S. Abu-Naser
1) The document presents a machine learning approach using deep convolutional neural networks to classify banana types with over 99% accuracy. 2) The model was trained on a dataset of 1914 banana images divided into training, validation, and testing sets. 3) The deep learning model architecture included convolutional and max pooling layers to extract features from the images and classify them as one of three banana types with 100% accuracy on the validation set.
Detailed Information
| Author: | ['Husnain Jilani'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 6 |
| Language: | English |
| Format: | |
| Price: | FREE |
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