ConcreteCrack_classifier_PyTorch the original data for training can be downloaded using this line of code ==> await skillsnetwork.prepare("https://s3-api.us-geo.objectstorage.softlayer.net/cf-courses-data/CognitiveClass/DL0321EN/data/images/concrete_crack_images_for_classification.zip", path = "/resources/data", overwrite=True) <==, this code is been described in the first lines of the notebook named "SoftMax_linearclassiferPytorch" The data for extra training can be fined in the zipped folder named "extra-data_testing.zip" link to the customCNN pretrained model ==>https://www.dropbox.com/scl/fi/2phmuo2grj5s2yxejc4pu/CNN_model.pth?rlkey=swci83r0f7cympe9p8xuzrwqx&dl=0 link to the AlexNet architecture pretrained model ==> https://www.dropbox.com/scl/fi/8q7zbh2fth0rimtmh1w7v/Alex_model.pth?rlkey=hevzjo5bhcy2le4k3ig79at7d&dl=0
