Deep Learning Fundamentals with Keras faq

learnersLearners: 227
instructor Instructor: / instructor-icon
duration Duration: 4.00 duration-icon

This IBM course provides learners with the fundamentals of deep learning using Keras. Upon successful completion, learners will receive a skill badge, a digital credential that verifies their knowledge and skills. Enroll now to gain a better understanding of deep learning and Keras.

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

Course Feature

costCost:

Free

providerProvider:

Edx

certificateCertificate:

Paid Certification

languageLanguage:

English

start dateStart Date:

Self paced

Course Overview

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

Updated in [February 21st, 2023]

What skills and knowledge will you acquire during this course?
By taking this course, learners will acquire the fundamentals of deep learning, including the basics of neural networks, different deep learning models, and how to build their first deep learning model using the easy yet powerful library Keras. They will also gain an understanding of the exciting applications of deep learning, as well as supervised and unsupervised deep learning models. Furthermore, they will be able to use Keras to build, train, and test deep learning models, and gain the knowledge needed to future-proof their career in the field of deep learning. Additionally, learners will have the opportunity to earn a skill badge, which is a detailed, verifiable and digital credential that profiles the knowledge and skills they have acquired in this course.

How does this course contribute to professional growth?
This course contributes to professional growth by providing learners with a foundational understanding of deep learning and the ability to apply the concepts to build their own deep learning models using Keras. Learners will also gain an understanding of the exciting applications of deep learning, as well as supervised and unsupervised deep learning models. Furthermore, they will be able to use Keras to build, train, and test deep learning models, and gain the knowledge needed to future-proof their career in the field of deep learning. Additionally, learners will have the opportunity to earn a skill badge, which is a detailed, verifiable and digital credential that profiles the knowledge and skills they have acquired in this course. This course also provides learners with the opportunity to explore career paths such as Deep Learning Engineer, Machine Learning Engineer, Artificial Intelligence Engineer, and Data Scientist, as well as education paths such as Bachelor of Science in Artificial Intelligence, Master of Science in Machine Learning, Doctor of Philosophy in Deep Learning, and Master of Science in Data Science.

Is this course suitable for preparing further education?
This course is suitable for preparing further education in the field of deep learning, machine learning, artificial intelligence, and data science. Learners will gain a foundational understanding of the fundamentals of deep learning, including neural networks, different deep learning models, and how to build their first deep learning model using the easy yet powerful library Keras. They will also gain an understanding of the exciting applications of deep learning, as well as supervised and unsupervised deep learning models. Furthermore, they will be able to use Keras to build, train, and test deep learning models, and gain the knowledge needed to future-proof their career in the field of deep learning. This course also provides learners with the opportunity to earn a skill badge, which is a detailed, verifiable and digital credential that profiles the knowledge and skills they have acquired in this course. With this knowledge, learners will be well-prepared to pursue further education in the fields of deep learning, machine learning, artificial intelligence, and data science.

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Quiz

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1. What is the main purpose of this course?

2. What are some of the topics covered in this course?

3. What is the benefit of completing this course?

4. What is the main focus of this course?

5. Learners who successfully complete this IBM course can earn a _________.

Correct Answer: skill badge

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faq FAQ for Keras Courses

Q1: Does the course offer certificates upon completion?

Yes, this course offers a free 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: Can I take this course for free?

Yes, this is a free course offered by Edx, please click the "go to class" button to access more details.

Q4: How many people have enrolled in this course?

So far, a total of 227 people have participated in this course. The duration of this course is 4.00 hour(s). Please arrange it according to your own time.

Q5: 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 Edx'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."
Edx 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.

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