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Image Compression and Generation using Variational Autoencoders in Python
Coursera Project Network

Image Compression and Generation using Variational Autoencoders in Python

Taught in English

Ari Anastassiou

Instructor: Ari Anastassiou

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Guided Project

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

Intermediate level

Recommended experience

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

(77 reviews)

What you'll learn

  • How to preprocess and prepare data for vision tasks using PyTorch

  • What a variational autoencoder is and how to train one

  • How to compress, reconstruct, and generate new images using a generative model

Details to know

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Guided Project

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

Intermediate level

Recommended experience

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

(77 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
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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. An introduction to the variational autoencoder and our project

  2. Dataset visualization and preprocessing

  3. Dataset split into training and validation sets

  4. Use data loaders to handle memory overload

  5. Create VAE architecture

  6. Create training loop for VAE

  7. Results of our model and short introduction to other potential projects using a VAE

Recommended experience

Familiarity with machine learning principles is useful. An intermediate level understanding of Python is recommended.

6 project images

Instructor

Instructor ratings
4.5 (5 ratings)
Ari Anastassiou
Coursera Project Network
8 Courses32,989 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

77 reviews

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AF
5

Reviewed on Jul 28, 2020

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5

Reviewed on May 28, 2020

AS
5

Reviewed on Jun 19, 2020

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