Deep Learning - Convolutional Neural Networks with TensorFlow - Transfer Learning Code (Part 2)

Deep Learning - Convolutional Neural Networks with TensorFlow - Transfer Learning Code (Part 2)

Assessment

Interactive Video

Computers

10th - 12th Grade

Practice Problem

Hard

Created by

Wayground Content

FREE Resource

The video tutorial covers transfer learning without data augmentation using a collab notebook. It begins with setting up the environment and preparing data, followed by configuring a pre-trained model. The tutorial then explains feature extraction from images and transforming data into a tabular format. Finally, it demonstrates model training and evaluation, comparing results with and without data augmentation, highlighting the efficiency and accuracy of the approach.

Read more

3 questions

Show all answers

1.

OPEN ENDED QUESTION

3 mins • 1 pt

How does the performance of the model change when using scaling versus not using scaling?

Evaluate responses using AI:

OFF

2.

OPEN ENDED QUESTION

3 mins • 1 pt

What were the results of using logistic regression included in Scikit-Learn compared to the script with data augmentation?

Evaluate responses using AI:

OFF

3.

OPEN ENDED QUESTION

3 mins • 1 pt

What observations were made regarding the speed of training with and without data augmentation?

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?