What does the ReLU activation function do?

Question

BlackTom AI · Accepted Answer

To evaluate what the ReLU activation function does, let's consider what ReLU is defined as. For any input x, ReLU(x) = max(0, x), meaning the function passes through positive values unchanged while clipping negative values to zero.
Option 1 states: 'It outputs the maximum value between 0 and the input value.' This is a correct description of ReLU, since taking the maximum of 0 and x yields either x (if x is positive) or 0 (if x is negative).
Option 2 states: 'It outputs the exponential of the input value.' The exponential function would be exp(x) or e^x, which is not what ReLU computes; ReLU does not apply any exponential growth or decay.
Option 3 states: 'It outputs a constant value regardless of the input.' A constant-output function would ignore x entirely, which is false for ReLU, as the output clearly depends on whether x is positive or negative.
In summary, ReLU is a piecewise linear function that keeps positive values and floors negatives at zero, which aligns with the description in Option 1 and contradicts Options 2 and 3.

Learning AI Through Visualization 4 Module 4 Quiz

What does the ReLU activation function do?

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