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.


Image Data Augmentation with Keras

Instructor: Amit Yadav
9,255 already enrolled
Guided Project
Recommended experience
(446 reviews)
What you'll learn
Image Data Augmentation with Keras
Using Image Data Generator with a Keras Model
Skills you'll practice
- Category: Deep Learning
- Category: Convolutional Neural Network
- Category: Machine Learning
- Category: image augmentation
- Category: keras
Details to know

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Guided Project
Recommended experience
(446 reviews)
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
Rotation
Width and Height Shifts
Brightness
Shear Transformation
Zoom
Channel Shift
Horizontal and Vertical Flips
Data Normalization
Rescale and Preprocessing Function
Recommended experience
Prior Python programming experience, understanding of Convolutional Neural Networks, and familiarity with Keras.
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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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