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Image Data Augmentation with Keras
Using Image Data Generator with a Keras Model
In this 1.5-hour long project-based course, you will learn how to apply image data augmentation in Keras. We are going to focus on using the ImageDataGenerator class from Keras’ image preprocessing package, and will take a look at a variety of options available in this class for data augmentation and data normalization. Since this is a practical, project-based course, you will need to prior experience with Python programming, convolutional neural networks, and Keras with a TensorFlow backend. Data augmentation is a technique used to create more examples, artificially, from an existing dataset. This is useful if your dataset is small and you want to increase the number of examples. Data augmentation can often solve over-fitting so that your model generalizes well after training. For images, a variety of augmentation can be applied to increase the number of examples. 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
Convolutional Neural Network
Machine Learning
image augmentation
keras
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
Rotation
Width and Height Shifts
Brightness
Shear Transformation
Zoom
Channel Shift
Horizontal and Vertical Flips
Data Normalization
Rescale and Preprocessing Function
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 GM
Jun 9, 2020This guided project approach has helped me a lot recollect the and streamline of my concepts in the real projects. Thank you a lot for giving me this good opportunity.
by DY
Jun 19, 2020Mostly it covered well whatever was mentioned but there can some improvements
by SM
Jul 14, 2020REALLY REALLY ENJOYED THIS ONE. I would have given it 6/5 stars but I had an issue with the Virtual Desktop not functioning from Task 9 ended up writing code on paper! Nonetheless great instructor!
by RD
Jun 13, 2020Amit sir has explained all the necessary concepts very briefly, But what I feel is someone need to have some knowledge regarding the working principles of CNN to opt this 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.
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.
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.
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.
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Auditing is not available for Guided Projects.
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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