Predictive Analytics with TensorFlow 3.5: Getting Started with Tensorflow – Linear Regression and Beyond

Predictive Analytics with TensorFlow 3.5: Getting Started with Tensorflow – Linear Regression and Beyond

Assessment

Interactive Video

Computers

10th - 12th Grade

Practice Problem

Hard

Created by

Wayground Content

FREE Resource

This video tutorial introduces linear regression in the context of TensorFlow, explaining its use in measuring relationships between variables. It covers generating data using Python, building a linear regression model, and optimizing it using gradient descent. The tutorial demonstrates the iterative process of finding optimal parameter values and concludes with the results of the model's performance.

Read more

5 questions

Show all answers

1.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the primary objective of implementing linear regression in TensorFlow?

Evaluate responses using AI:

OFF

2.

OPEN ENDED QUESTION

3 mins • 1 pt

Explain the concept of a cost function in the context of linear regression.

Evaluate responses using AI:

OFF

3.

OPEN ENDED QUESTION

3 mins • 1 pt

Describe the gradient descent algorithm and its role in optimizing parameters.

Evaluate responses using AI:

OFF

4.

OPEN ENDED QUESTION

3 mins • 1 pt

What are the initial values of W and b in the algorithm, and what does it indicate about the loss?

Evaluate responses using AI:

OFF

5.

OPEN ENDED QUESTION

3 mins • 1 pt

How does the algorithm adjust the values of W and b during the iterations?

Evaluate responses using AI:

OFF

Access all questions and much more by creating a free account

Create resources

Host any resource

Get auto-graded reports

Google

Continue with Google

Email

Continue with Email

Classlink

Continue with Classlink

Clever

Continue with Clever

or continue with

Microsoft

Microsoft

Apple

Apple

Others

Others

Already have an account?