Informal View of Task Difficulty in Neural Networks

Which binary classification task is likely the easiest and needs the fewest training examples?

True or False: A simpler binary classification problem usually needs fewer labeled examples than a more difficult one.

Simpler tasks need less data

Match each vision task to its relative difficulty rank in the ordered list (1 = easiest, 5 = hardest).

Order these five classification tasks from easiest (1) to hardest (5).

How does task difficulty influence data needs when dividing a pipeline into subtasks?

A model that must distinguish two very similar bird species usually needs less training data than a model that only decides whether a photo is indoors or outdoors.

Binary Output in Several Toy Image Tasks

Match each image task description to the difficulty category it best fits.

Put the task-formulation steps in a sensible order when choosing a component for a text-classification pipeline.

How Task Difficulty Affects Training Data Needs

Choosing the Easier Image Classification Task

Why Some Classification Tasks Need Less Training Data