What does the softmax function output for input [2.0, 1.0, 0.1]?

Question

Accepted Answer

Softmax converts logits to probabilities: $$\sigma(z_i) = \frac{e^{z_i}}{\sum_j e^{z_j}}$$. The outputs always sum to 1.0, making it ideal for multi-class classification output layers.