Regression vs Classification

The main difference between regression and classification:

• Regression: Output range is in contiguous range.
• Classification: Output is always class indices or a set of probabilities of classes.

Single output neuron targeting labels: 

• This is classification

Multiple output neurons targeting probabilities of labels:

• This is still classification

Example of regression:

• Linear activation (full numeric range)