Deep Learning Soil Classification

Deep Learning Soil Classification

Assessment

Interactive Video

•

Information Technology (IT), Architecture, Other

•

12th Grade - University

•

Practice Problem

•

Hard

Created by

Wayground Content

FREE Resource

The video tutorial covers soil classification using a convolutional neural network (CNN). It begins with an introduction to different soil types and their classification criteria. The setup of the Python environment, including necessary modules and directories, is explained. Data processing and augmentation techniques are discussed to prepare images for training. The tutorial then details the construction and training of a CNN model using TensorFlow. Testing and potential improvements to the model are explored, followed by a look at alternative classification methods like texture classification.

Read more

4 questions

Show all answers

1.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the significance of the softmax probability in the output layer?

Evaluate responses using AI:

OFF

2.

OPEN ENDED QUESTION

3 mins • 1 pt

Discuss the importance of the training data size in achieving better accuracy.

Evaluate responses using AI:

OFF

3.

OPEN ENDED QUESTION

3 mins • 1 pt

How does the model handle images that are mixtures of gravel, sand, and silt?

Evaluate responses using AI:

OFF

4.

OPEN ENDED QUESTION

3 mins • 1 pt

What alternative approach is suggested for texture classification?

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?