gs gs126 Linear Regression - Linear Regression – Cost Function - Quiz No.1
gs gs126 Neural Networks Quiz
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Question 1: The hypothesis is given by h(x) = t0 + t1x. What are t0 and t1?
Value of h(x) when x is 0, intercept along y-axis
Value of h(x) when x is 0, the rate at which h(x) changes with respect to x
The rate at which h(x) changes with respect to x, intercept along the y-axis
Intercept along the y-axis, the rate at which h(x) changes with respect to x
Question 3: The hypothesis is given by h(x) = t0 + t1x. What is the goal of t0 and t1?
Give negative h(x)
Give h(x) as close to 0 as possible, without themselves being 0
Give h(x) as close to y, in training data, as possible
Give h(x) closer to x than y
Question 4: The hypothesis is given by h(x) = t0 + t1x. What does t1 = 0 after several iterations imply?
The target variable is independent of x
Hypothesis is wrong
t0 is 0
x is the target variable
Question 5: In a linear regression problem, h(x) is the predicted value of the target variable, y is the actual value of the target variable, m is the number of training examples. What do we try to minimize?
(h(x) – y) / m
(h(x) – y)2 / 2*m
(h(x) – y) / 2*m
(y – h(x))
Question 7: What is the simplified hypothesis?
h(x) = t1x
h(x) = t0 + t1x
h(x) = t0
h(x) = t0x
Question 9: In the simplified hypothesis, what does hypothesis H and cost function J depend on?
Both are functions of x
J is a function of x, H is a function of t1
H is a function of x, J is a function of t1
Both are functions of t1
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