Coursera Project Network
Neural Style Transfer with TensorFlow
Coursera Project Network

Neural Style Transfer with TensorFlow

Taught in English

Amit Yadav

Instructor: Amit Yadav

4,426 already enrolled

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Guided Project

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

Intermediate level

Recommended experience

2 hours
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning
4.6

(111 reviews)

What you'll learn

  • Develop an understanding of how Neural Style Transfer works.

  • Be able to apply Neural Style Transfer to stylize a given content image.

Details to know

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Guided Project

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

Intermediate level

Recommended experience

2 hours
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning
4.6

(111 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

  2. Import the Model

  3. Import Libraries and Helper Functions

  4. Image Preprocessing and Display

  5. Content and Style Models

  6. Compute Content Cost

  7. Define Gram Matrix

  8. Compute Style Cost

  9. Training Loop

  10. Plot the Results

Recommended experience

Python programming experience and a basic understanding of neural networks is recommended.

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Instructor

Amit Yadav
Coursera Project Network
39 Courses355,050 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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4.6

111 reviews

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  • 4 stars

    21.62%

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    6.30%

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  • 1 star

    0.90%

RB
5

Reviewed on Jun 17, 2020

PA
5

Reviewed on Jun 2, 2020

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