Deep Learning - Deep Neural Network for Beginners Using Python - Linear Equation

The video tutorial introduces the concept of using a line to classify data, specifically for hiring decisions. It explains the line equation, 3X + Y + B, where X and Y are axes values and B is a bias. The tutorial demonstrates how to apply this equation to determine whether to accept or reject employees based on their scores. Examples are provided to illustrate positive and negative outcomes. A discussion question is posed about the meaning of a zero solution in the context of the graph.

What is the primary purpose of the line discussed in the introduction?

• To separate different types of data

• To calculate employee salaries

• To determine the age of employees

• To predict weather patterns

In the linear equation 3X + Y + B, what does 'B' represent?

• The bias in the equation

• The slope of the line

• The Y-intercept

• The average score

How is the decision made to accept or reject an employee based on the equation?

• By calculating the average of X and Y

• By comparing the score to a threshold of 10

• By checking if the score is positive or negative

• By ensuring the score is a multiple of 5

What is the result when the equation's solution is exactly zero?

• The decision is unclear and needs further analysis

• The employee is put on a waiting list

• The employee is automatically accepted

• The employee is automatically rejected

If an employee's test score is 7 and academic score is 9, what is the result of the equation 3X + Y - 25?

• The result is -5

• The result is 0

• The result is 10

• The result is 5