Coursera Project Network
Facial Expression Classification Using Residual Neural Nets
Coursera Project Network

Facial Expression Classification Using Residual Neural Nets

Taught in English

Ryan Ahmed

Instructor: Ryan Ahmed

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Guided Project

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

Beginner level

Recommended experience

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

(71 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

Beginner level

Recommended experience

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

(71 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. Project Overview/Understand the problem statement and business case

  2. Import Libraries/datasets and perform preliminary data processing

  3. Perform Image Visualization

  4. Perform Image Augmentation, normalization and splitting

  5. Understand the theory and intuition behind Deep Neural Networks and CNNs

  6. Build and Train Residual Neural Network Model

  7. Assess the Performance of the Trained Model

Recommended experience

Basic python programming and mathematics

4 project images

Instructor

Ryan Ahmed
Coursera Project Network
60 Courses110,950 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

71 reviews

  • 5 stars

    76.05%

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    16.90%

  • 3 stars

    1.40%

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    1.40%

  • 1 star

    4.22%

PB
4

Reviewed on Sep 26, 2020

EG
5

Reviewed on Oct 5, 2020

SN
4

Reviewed on Aug 9, 2020

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