This is a self-paced lab that takes place in the Google Cloud console. A convolution is a filter that passes over an image, processes it, and extracts features that show a commonality in the image. In this lab you'll see how they work, and try processing an image to extract features from it! You also explore pooling, which compresses your image and further emphasizes the features.
Introduction to Convolutions with TensorFlow
Introduction to Convolutions with TensorFlow
Instructor: Google Cloud Training
Access provided by University of Jeddah
Build in-demand job skills with step-by-step instructions
Intermediate level
Some related experience required
50 minutes
Learn at your own pace
Hands-on learning
What you'll learn
Load and draw an image from scipy, an open source Python library used for scientific and technical computing
Create a filter as a 3x3 array and a convolution and see the effects on the image
Run a pooling to see how it affects the output
Skills you'll practice
Details to know
Shareable certificate
Add to your LinkedIn profile
Taught in English
No downloads or installation required
Only available on desktop
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About this project
Instructor
Offered by
How you'll learn
Hands-on, project-based learning
Practice new skills by completing job-related tasks with step-by-step instructions.
No downloads or installation required
Access the tools and resources you need in a cloud environment.
Available only on desktop
This project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
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