As a data scientist I want to train the CNN model using the pre-processed dataset at full size 256 x 256 and optimize the hyperparameters min value 128, max value 256, step 32, with values 1e-3, 1e-4 on a relu activation and loss of binary_crossentroby to achieve the best performance, so that the model can accurately classify cherry leaves as healthy or containing powdery mildew.
As a data scientist I want to train the CNN model using the pre-processed dataset at full size 256 x 256 and optimize the hyperparameters min value 128, max value 256, step 32, with values 1e-3, 1e-4 on a relu activation and loss of binary_crossentroby to achieve the best performance, so that the model can accurately classify cherry leaves as healthy or containing powdery mildew.