- used python 3
- used Keras and tensorflow libraries
- classification with 3 classes. note that you can implement this code to more than 3 classes but should change the dimension of "softmax" output.
- Accuracy of CNN= 0.91
- The input folder is for your desire image that hasn't been in train or validation images.
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parsa-k/image-classification-with-CNN
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implemented classification with 3 classes, used Convolutional Neural Network (CNN) for image processing and classification.
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