Image Noise Reduction with Auto-encoders using TensorFlow
Develop an understanding of how Auto encoders work.
Be able to apply an auto encoder to reduce noise in given images.
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. This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your internet browser so you can just focus on learning. For this project, you’ll get instant access to a cloud desktop with Python, Jupyter, and Tensorflow pre-installed. 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.
Навыки, которые вы получите
Будете учиться пошагово
На видео, которое откроется рядом с рабочей областью, преподаватель объяснит эти шаги:
Introduction and Importing Libraries
Data Preprocessing
Adding Noise
Building and Training a Classifier
Building the Autoencoder
Training the Autoencoder
Denoised Images
Composite Model
How Guided Projects work
Ваше рабочее пространство — это облачный рабочий стол в браузере. Ничего не нужно загружать.
На разделенном экране видео преподаватель предоставляет пошаговые
Часто задаваемые вопросы
Часто задаваемые вопросы
What will I get if I purchase a Guided Project?
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.
Are Guided Projects available on desktop and mobile?
Because your workspace contains a cloud desktop that is sized for a laptop or desktop computer, Guided Projects are not available on your mobile device.
Who are the instructors for Guided Projects?
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.
Can I download the work from my Guided Project after I complete it?
You can download and keep any of your created files from the Guided Project. To do so, you can use the “File Browser” feature while you are accessing your cloud desktop.
Какие правила возврата средств?
Guided Projects are not eligible for refunds. Ознакомьтесь с полным текстом нашей политики возврата средств.
Можно ли получить финансовую помощь?
Financial aid is not available for Guided Projects.
Can I audit a Guided Project and watch the video portion for free?
Auditing is not available for Guided Projects.
How much experience do I need to do this Guided Project?
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.
Can I complete this Guided Project right through my web browser, instead of installing special software?
Yes, everything you need to complete your Guided Project will be available in a cloud desktop that is available in your browser.
What is the learning experience like with Guided Projects?
Вы научитесь выполнять задания в режиме разделенного экрана непосредственно в браузере. В левой части экрана можно выполнять задания в своем рабочем пространстве. В правой части экрана можно просматривать пошаговые инструкции преподавателя по работе с проектом.
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