Coursera Project Network
TensorFlow for AI: Applying Image Convolution
Coursera Project Network

TensorFlow for AI: Applying Image Convolution

Taught in English

Mo Rebaie

Instructor: Mo Rebaie

1,969 already enrolled

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Guided Project

Learn, practice, and apply job-ready skills with expert guidance

Intermediate level

Recommended experience

1.5 hours
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning
4.4

(17 reviews)

What you'll learn

  • Learn how to create convolution and pooling layers for images

  • Learn how to apply filters to images and detect edges

  • Learn how to build convolutional layers for neural networks

Details to know

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Guided Project

Learn, practice, and apply job-ready skills with expert guidance

Intermediate level

Recommended experience

1.5 hours
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning
4.4

(17 reviews)

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About this Guided Project

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Introduction and overview of the project

  2. Definition and understanding of convolutions

  3. Draw the image, store it and apply convolutions

  4. Create visualized filters and convolutions

  5. Apply convolutions and pooling to Images

Recommended experience

Familiarity with Python and TensoFlow is helpful but not required.

6 project images

Instructor

Mo Rebaie
Coursera Project Network
18 Courses25,105 learners

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How you'll learn

  • Skill-based, hands-on learning

    Practice new skills by completing job-related tasks.

  • Expert guidance

    Follow along with pre-recorded videos from experts using a unique side-by-side interface.

  • No downloads or installation required

    Access the tools and resources you need in a pre-configured cloud workspace.

  • Available only on desktop

    This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.

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4.4

17 reviews

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EC
5

Reviewed on Dec 7, 2020

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