269 ratings
6,824 already enrolled
Understand the theory and intuition behind Autoencoders
Build and train an image denoising autoencoder using Keras with Tensorflow 2.0 as a backend
Assess the performance of trained autoencoders using various Key performance indicators
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.
Deep Learning
Artificial Intelligence (AI)
Machine Learning
Python Programming
Computer Vision
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Project Overview
Import libraries and datasets
Perform data visualization
Perform data preprocessing
Understand the theory and intuition behind autoencoders
Build and train autoencoder model
Evaluate trained model performance
Your workspace is a cloud desktop right in your browser, no download required
In a split-screen video, your instructor guides you step-by-step
by HS
Apr 5, 2020Just right for me at the moment I was doing it I just needed to do a light project in which I could gain some practical skills
by SJ
Apr 11, 2020Awesome course for those who have a background in this field.
by A
May 21, 2020This project has helped me to build m basic well towards image processing and I would recommend this course to everyone
by SK
Jan 15, 2021Good introductory case-study to learn about image denoising using neural networks!
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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Guided Project instructors are subject matter experts who have experience in the skill, tool or domain of their project and are passionate about sharing their knowledge to impact millions of learners around the world.
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At the top of the page, you can press on the experience level for this Guided Project to view any knowledge prerequisites. For every level of Guided Project, your instructor will walk you through step-by-step.
Yes, everything you need to complete your Guided Project will be available in a cloud desktop that is available in your browser.
You'll learn by doing through completing tasks in a split-screen environment directly in your browser. On the left side of the screen, you'll complete the task in your workspace. On the right side of the screen, you'll watch an instructor walk you through the project, step-by-step.
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