Coursera Project Network
Cifar-10 Image Classification with Keras and Tensorflow 2.0
Coursera Project Network

Cifar-10 Image Classification with Keras and Tensorflow 2.0

Ryan Ahmed

Instructor: Ryan Ahmed

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

What you'll learn

  • Understand the fundamentals of Convolutional Neural Networks (CNNs)

  • Build, train and test Convolutional Neural Networks in Keras and Tensorflow 2.0

  • Evaluate trained classifier model performance using various KPIs such as precision, recall, F1-score

Details to know

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Taught in English

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

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. Understand the Problem Statement and Business Case

  2. Import Key Libraries and Datasets

  3. Practice Opportunity #1 [Optional]:

  4. Perform Data Visualization

  5. Practice Opportunity #2 [Optional]:

  6. Prepare the data for training

  7. Build a Deep Neural Network Model Using Keras

  8. Practice Opportunity #3 [Optional]:

  9. Compile and Fit A Deep Neural Network Model

  10. Evaluate Trained Model Performance

Recommended experience

Python Programming and Basic Mathematics Background

10 project images

Instructor

Ryan Ahmed
Coursera Project Network
59 Courses117,613 learners

Offered by

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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