In this 1.5-hour long project-based course, you will learn to create a custom callback function in Keras and use the callback during a model training process. We will implement the callback function to perform three tasks: Write a log file during the training process, plot the training metrics in a graph during the training process, and reduce the learning rate during the training with each epoch.
Creating Custom Callbacks in Keras
Taught in English
Instructor: Amit Yadav
3,379 already enrolled
Included with
Guided Project
Recommended experience
(68 reviews)
What you'll learn
Create custom callback functions in Keras.
Use custom callback functions in Keras.
Skills you'll practice
Details to know
Add to your LinkedIn profile
Guided Project
Recommended experience
(68 reviews)
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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
Importing and Preprocessing Data
Creating the Model
Creating the Callback
Training the Model
Recommended experience
Python programming experience and a basic understanding of neural networks is recommended.
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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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