Deep Learning - Deep Neural Network for Beginners Using Python - Error Functions

The video explains the concept of error functions, crucial in data science and AI. It uses two examples: traveling to the moon and descending a mountain, to illustrate how reducing distance or height can minimize error, ultimately achieving a goal.

What is an error function and how is it related to distance?

Explain how moving towards a goal affects the error in the context of the moon analogy.

Describe the relationship between height and error when descending from a mountain.

How can one calculate the error while moving down a mountain?

What does it mean when the error reaches zero in the context of the mountain analogy?