Python for Deep Learning - Build Neural Networks in Python - Pooling Layer

Python for Deep Learning - Build Neural Networks in Python - Pooling Layer

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Hard

Created by

Wayground Content

FREE Resource

The video tutorial explains the concept of pooling in image processing, focusing on reducing the dimensions of feature maps to decrease the number of parameters to learn. It introduces Max pooling and Average pooling, highlighting their differences. Max pooling extracts the maximum value from a region, preserving bright pixels, while Average pooling smooths the image, potentially losing sharp features. An example of Max pooling with a 2x2 size and stride of 2 is demonstrated, showing how it reduces the feature map's dimensions.

Read more

1 questions

Show all answers

1.

OPEN ENDED QUESTION

3 mins • 1 pt

What new insight or understanding did you gain from this video?

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?