Registrations Closing Soon for DevOps Certification Training by CloudxLab | Registrations Closing in

  Enroll Now

Cats vs Non-cats using Transfer Learning - Visualize the Data

The classes of the images in the datasets are cat and non-cat. These labels of each sample are stored in train_set_y_orig, validation_y and test_set_y, where 1 means 'cat' and 0 means 'non-cat'. Let us see how to get this info Pythonically:


The following code gets the classes from the data set. We will be printing the classes, how the labels of the classes are stored in the data set. Then, we will be plotting the image.

Copy-paste the following code.

classes = np.array(test_dataset["list_classes"][:])

print("Classes are: ",classes)
print("Groundtruth stored as: ",train_set_y_orig[2])


No hints are availble for this assesment

Answer is not availble for this assesment

Note - Having trouble with the assessment engine? Follow the steps listed here

Loading comments...