Coursera Project Network
Object Localization with TensorFlow
Coursera Project Network

Object Localization with TensorFlow

Taught in English

Amit Yadav

Instructor: Amit Yadav

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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
4.3

(106 reviews)

What you'll learn

  • Create synthetic data for model training

  • Create and train a multi output neural network to perform object localization

  • Create custom metrics and calbacks in Keras

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
4.3

(106 reviews)

See how employees at top companies are mastering in-demand skills

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Learn, practice, and apply job-ready skills in less than 2 hours

  • Receive training from industry experts
  • Gain hands-on experience solving real-world job tasks
  • Build confidence using the latest tools and technologies
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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. Download and Visualize Data

  3. Create Examples

  4. Plot Bouding Boxes

  5. Data Generator

  6. Model

  7. Custom Metric: IoU

  8. Compile the Model

  9. Custom Callback

  10. Model Training

Recommended experience

Prior programming experience in Python. Conceptual understanding of Neural Networks. Prior experience with TensorFlow and Keras.

7 project images

Instructor

Instructor ratings
4.3 (9 ratings)
Amit Yadav
Coursera Project Network
41 Courses336,394 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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4.3

106 reviews

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    61.32%

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    23.58%

  • 3 stars

    6.60%

  • 2 stars

    2.83%

  • 1 star

    5.66%

LL
5

Reviewed on Mar 30, 2022

MI
4

Reviewed on Mar 31, 2021

AO
4

Reviewed on Mar 29, 2021

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