Gradient descent algorithms take the loss function and use partial derivatives to determine what each variable (weights and biases) in the network contributed to the loss value.

Move the point T along the graph of y=sin(x) by moving the slider. The slope function (derivative) is then traced out in blue. Can you identify the graph of the derivative? This is a Java Applet ...

Revise how to identify the y-intercept, turning point and axis of symmetry of a quadratic function. BBC Bitesize Scotland revision for SQA National 5 Maths.

Applicable Analysis and Discrete Mathematics, Vol. 1, No. 1, SPECIAL ISSUE: Papers presented at the conference Topics in Mathematical Analysis and Graph Theory Belgrade, Serbia, September 1-4, 2006.

Zhimin Zhang, Derivative Superconvergent Points in Finite Element Solutions of Harmonic Functions: A Theoretical Justification, Mathematics of Computation, Vol. 71, No. 240 (Oct., 2002), pp. 1421-1430 ...