The classifier we're writing seeks to assign unknown images to a class. Classes can be of the following types:

• Feline versus canine
• Two versus seven
• Tumor versus normal
• Smiling versus frowning

In our case, we are considering each letter a class for a total of 10 classes. The training set will reveal 10 subfolders with thousands of images underneath each subfolder. The name of the subfolder is important as it is the label for each of the images. These details will be used by the pipeline to prepare data for TensorFlow.