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Emotion AI: Facial Key-points Detection
Coursera Project Network

Emotion AI: Facial Key-points Detection

Taught in English

Ryan Ahmed

Instructor: Ryan Ahmed

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Guided Project

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

Intermediate level

Recommended experience

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

(156 reviews)

What you'll learn

  • Understand the theory and intuition behind Deep Neural Networks, and Residual Neural Networks, and Convolutional Neural Networks (CNNs).

  • Build and train a deep learning model based on Convolutional Neural Network and Residual blocks using Keras with Tensorflow 2.0 as a backend.

  • Assess the performance of trained CNN and ensure its generalization using various Key performance indicators.

Details to know

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Guided Project

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

Intermediate level

Recommended experience

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

(156 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. Task 1: Project Overview/Understand the problem statement and business case

  2. Task 2: Import Libraries/datasets and perform preliminary data processing

  3. Task 3: Perform Image Visualization

  4. Task 4: Perform Image Augmentation

  5. Task 5: Prepare the data for deep learning model training (Normalization/reshaping)

  6. Task 6: Understand the theory and intuition behind Deep Neural Networks and CNNs.

  7. Task 7: Build Deep Residual Neural Network Model

  8. Task 8: Compile and train deep learning model

  9. Task 9: Assess the Performance of the Trained Model

Recommended experience

Basic python programming and mathematics.

4 project images

Instructor

Instructor ratings
5.0 (5 ratings)
Ryan Ahmed
Coursera Project Network
60 Courses109,745 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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Showing 3 of 156

4.6

156 reviews

  • 5 stars

    71.79%

  • 4 stars

    18.58%

  • 3 stars

    7.05%

  • 2 stars

    1.28%

  • 1 star

    1.28%

DN
5

Reviewed on Jul 22, 2020

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