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

Choose Pipeline Components That Can Be Learned from Limited Data