Creating Custom Callbacks in Keras faq

learnersLearners: 214
instructor Instructor: Amit Yadav instructor-icon
duration Duration: duration-icon

This 1.5-hour long project-based course on Coursera's Rhyme platform will teach you how to create a custom callback function in Keras and use it during a model training process. You will learn to write a log file, plot the training metrics in a graph, and reduce the learning rate during the training with each epoch. With pre-configured cloud desktops containing all the software and data you need, you can focus on learning without worrying about the setup. Prerequisites include familiarity with Python, Neural Networks, and the Keras framework. This course is best suited for learners based in North America.

ADVERTISEMENT

Course Feature Course Overview Course Provider Discussion and Reviews
Go to class

Course Feature

costCost:

Paid

providerProvider:

Coursera

certificateCertificate:

Paid Certification

languageLanguage:

English

start dateStart Date:

17th Jul, 2023

Course Overview

❗The content presented here is sourced directly from Coursera platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [August 31st, 2023]

Skills and Knowledge:




  • Creating custom callback functions in Keras

  • Writing log files during the training process

  • Plotting training metrics in a graph during the training process

  • Reducing the learning rate during the training with each epoch

  • Python programming

  • Neural networks

  • Keras framework



Professional Growth:
This course on creating custom callbacks in Keras contributes to professional growth in several ways:
1. Enhanced understanding of Keras: By learning how to create custom callbacks, you will gain a deeper understanding of the Keras framework and its capabilities. This knowledge can be applied to various other projects and tasks involving Keras.
2. Improved model training process: The course teaches you how to write a log file, plot training metrics, and reduce the learning rate during the training process using custom callbacks. These techniques can greatly enhance the efficiency and effectiveness of your model training, leading to better results.
3. Practical hands-on experience: The course is project-based and conducted on a hands-on platform. This means you will gain practical experience by working on real-world projects in a simulated environment. This experience is valuable for professional growth as it allows you to apply your knowledge and skills in a practical setting.
4. Familiarity with cloud-based tools: The course is conducted on Coursera's hands-on project platform called Rhyme, which provides pre-configured cloud desktops with all the necessary software and data. By using this platform, you will become familiar with cloud-based tools and gain experience working in a cloud environment, which is increasingly important in many professional settings.
5. Prerequisites and advanced knowledge: The course assumes familiarity with Python, Neural Networks, and the Keras framework. By taking this course, you can further strengthen your understanding of these concepts and build upon your existing knowledge. This can be beneficial for career advancement and pursuing more advanced projects or roles in the field of machine learning and artificial intelligence.
Overall, this course on creating custom callbacks in Keras offers practical skills, deeper understanding of the framework, and hands-on experience, all of which contribute to professional growth in the field of machine learning and AI.

Further Education:
This course is suitable for preparing further education. It covers the topic of creating custom callbacks in Keras, which is a valuable skill for further studies in machine learning and deep learning. Additionally, the course assumes familiarity with Python, Neural Networks, and the Keras framework, which are foundational knowledge for further education in these areas.

Course Provider

Provider Coursera's Stats at AZClass

Discussion and Reviews

0.0   (Based on 0 reviews)

Start your review of Creating Custom Callbacks in Keras

faq FAQ for Keras Courses

Q1: Does the course offer certificates upon completion?

Yes, this course offers a paid certificate. AZ Class have already checked the course certification options for you. Access the class for more details.

Q2: How do I contact your customer support team for more information?

If you have questions about the course content or need help, you can contact us through "Contact Us" at the bottom of the page.

Q3: How many people have enrolled in this course?

So far, a total of 214 people have participated in this course. The duration of this course is hour(s). Please arrange it according to your own time.

Q4: How Do I Enroll in This Course?

Click the"Go to class" button, then you will arrive at the course detail page.
Watch the video preview to understand the course content.
(Please note that the following steps should be performed on Coursera's official site.)
Find the course description and syllabus for detailed information.
Explore teacher profiles and student reviews.
Add your desired course to your cart.
If you don't have an account yet, sign up while in the cart, and you can start the course immediately.
Once in the cart, select the course you want and click "Enroll."
Coursera may offer a Personal Plan subscription option as well. If the course is part of a subscription, you'll find the option to enroll in the subscription on the course landing page.
If you're looking for additional Keras courses and certifications, our extensive collection at azclass.net will help you.

close

To provide you with the best possible user experience, we use cookies. By clicking 'accept', you consent to the use of cookies in accordance with our Privacy Policy.