Use substitution: let u = 2x, then du = 2dx, so dx = du/2
Factor out the constant
Integrate e^u
Substitute back u = 2x
Exponential functions are fundamental to machine learning! e^(2x) appears in softmax activation functions, exponential learning rate schedules, and the mathematical foundation of neural network backpropagation. The integral is used in deriving probability distributions like the exponential and Laplace distributions.
The integral of e^(2x) is \frac{1}{2}e^{2x} + C, where C is the constant of integration.
Follow the step-by-step solution above, which uses u-substitution.
Exponential functions are fundamental to machine learning! e^(2x) appears in softmax activation functions, exponential learning rate schedules, and the mathematical foundation of neural network backpropagation. The integral is used in deriving probability distributions like the exponential and Laplace distributions.