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Online Course

Image Denoising Using AutoEncoders in Keras and Python

Coursera Project Network via Coursera

(0)
  • Provider Coursera
  • Cost Paid Course
  • Session Upcoming
  • Language English
  • Certificate Paid Certificate Available
  • Effort 2 hours a week
  • Duration 1 weeks long
  • Learn more about MOOCs

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Overview

In this 1-hour long project-based course, you will be able to:
- Understand the theory and intuition behind Autoencoders
- Import Key libraries, dataset and visualize images
- Perform image normalization, pre-processing, and add random noise to images
- Build an Autoencoder using Keras with Tensorflow 2.0 as a backend
- Compile and fit Autoencoder model to training data
- Assess the performance of trained Autoencoder using various KPIs

Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Taught by

Ryan Ahmed

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