What are Involved?
Calculus by Newton-Leibniz, notably derivation. The Newton notation (use quote ‘) is neat and fast but harder to imagine, this book uses Leibniz notation (use d/dx) for solving the dynamic programming formula of backpropagation as the chain rule can be seen more clearly.
The is read as derivative of f, the process of finding the derivative of a function is call derivation. Derivative of a Function
Derivative of a function f is a function t which has results as the rates of change at all points of function f. Each result of t at x can be used as coefficient to draw a tangent line to the function f at x.
For example, , the derivative of f is: Basic Calculus: Derivation
Reference
Core Derivatives
Derivative of a constant:
Derivative of a line:
Derivative of a polynomial:
Derivative of a exponential:
More core functions are there but unused in machine learning.
Common Derivative Rules
Sum Rule
Difference Rule
Product Rule
Quotient Rule
Chain Rule (used when changing the variable that the derivation is taking respect to)