classifying-samplings-using-CNN
It is an image classifier used to classify 12 different types of plants samplings. The classifier consists of 5 CNN layers followed by 2 ANN layers, having Tensorflow backend using softmax predictor.
It is an image classifier used to classify 12 different types of plants samplings. The classifier consists of 5 CNN layers followed by 2 ANN layers, having Tensorflow backend using softmax predictor.