Exploring the Distinction: Gradient vs. Derivative
Exploring the Distinction: Gradient vs. Derivative
The derivative is the slope of the tangent line to the curve at a point.
The derivative is the slope of the tangent line to the curve at a point.
The gradient of a function is a vector that points in the direction of the fastest rate of increase.
The gradient of a function is a vector that points in the direction of the fastest rate of increase.
Light Yellow Arrow
Derivatives are single values that represent the rate of change of a function.
Derivatives are single values that represent the rate of change of a function.
Disc Pie Chart
Derivatives tell you the direction of a curve's change, whether it's going up or down.
Derivatives tell you the direction of a curve's change, whether it's going up or down.
List
Gradients point the way for machine learning algorithms to minimize the loss function and improve performance.
Gradients point the way for machine learning algorithms to minimize the loss function and improve performance.
The gradient is a vector of partial derivatives, while the first derivative is a single partial derivative.
The gradient is a vector of partial derivatives, while the first derivative is a single partial derivative.
Click here to learn more about Exploring the Distinction: Gradient vs. Derivative.
Click here to learn more about Exploring the Distinction: Gradient vs. Derivative.