Running CNN_model.py will print the loss value for every 100 epochs, generate a plot of loss over time/epoch for the training model, and a confusion matrix for the test images. ALL IMAGES FOLDER ...

Then, once you have the dataset splitted, you can run to cmd, once you are to principal folder, this code: python cnn.py (with values as ... training and validate dataset of images. Thus, you can also ...

This is an example of image classification ... is the largest, the model's prediction is that the dummy digit image is a "6," which makes sense if you look closely. Keras is a code library that ...

To implement and generate our convolutional neural networks, we used the Python programming language ... we have proposed a novel method for image-based date palm species classification using a ...

Algorithms proposed in computational pathology can allow to automatically analyze digitized tissue samples of histopathological images to ... magnification CNN for both classification and segmentation ...