In this 2-hour long project-based course, you will learn the basics of image noise reduction with auto-encoders. Auto-encoding is an algorithm to help reduce dimensionality of data with the help of neural networks. It can be used for lossy data compression where the compression is dependent on the given data. This algorithm to reduce dimensionality of data as learned from the data can also be used for reducing noise in data.
Image Noise Reduction with Auto-encoders using TensorFlow
Taught in English
Instructor: Amit Yadav
4,970 already enrolled
Included with
Guided Project
Recommended experience
(109 reviews)
What you'll learn
Develop an understanding of how Auto encoders work.
Be able to apply an auto encoder to reduce noise in given images.
Skills you'll practice
Details to know
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Guided Project
Recommended experience
(109 reviews)
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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
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:
Introduction and Importing Libraries
Data Preprocessing
Adding Noise
Building and Training a Classifier
Building the Autoencoder
Training the Autoencoder
Denoised Images
Composite Model
Recommended experience
Python programming experience and a basic understanding of neural networks is recommended.
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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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Frequently asked questions
By purchasing a Guided Project, you'll get everything you need to complete the Guided Project including access to a cloud desktop workspace through your web browser that contains the files and software you need to get started, plus step-by-step video instruction from a subject matter expert.
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