Introduction to TensorFlow for Artificial Intelligence Machine Learning and Deep Learning faq

star-rating
5
learnersLearners: 755
instructor Instructor: Laurence Moroney instructor-icon
duration Duration: duration-icon

This online course will teach you the fundamentals of TensorFlow, the powerful open source library for Artificial Intelligence, Machine Learning, and Deep Learning, so you can confidently build and deploy AI-powered applications.

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

Course Feature

costCost:

Free

providerProvider:

Coursera

certificateCertificate:

Paid Certification

languageLanguage:

English

start dateStart Date:

24th 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]

We consider the value of this course from multiple aspects, and finally summarize it for you from three aspects: personal skills, career development, and further study:
(Kindly be aware that our content is optimized by AI tools while also undergoing moderation carefully from our editorial staff.)
What skills and knowledge will you acquire during this course?
By taking this course, students will acquire the skills and knowledge necessary to use TensorFlow to build and apply scalable models to real-world problems. They will learn best practices for using TensorFlow, a popular open-source framework for machine learning, and gain an understanding of how neural networks work. Additionally, they will gain an understanding of the most important and foundational principles of Machine Learning and Deep Learning, as taught by Andrew Ng in the Machine Learning course and Deep Learning Specialization.
lHow does this course contribute to professional growth?
This course provides a comprehensive introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning. It is designed to help software developers gain the skills and knowledge necessary to build scalable AI-powered algorithms. The course covers best practices for using TensorFlow, a popular open-source framework for machine learning. It also provides an overview of the Machine Learning course and Deep Learning Specialization from Andrew Ng, which teach the most important and foundational principles of Machine Learning and Deep Learning. By taking this course, professionals can gain a deeper understanding of how neural networks work and learn how to use TensorFlow to implement those principles. This will enable them to start building and applying scalable models to real-world problems.

Is this course suitable for preparing further education?
Yes, this course is suitable for preparing further education. It is part of the upcoming Machine Learning in TensorFlow Specialization and will teach best practices for using TensorFlow, a popular open-source framework for machine learning. Additionally, the course and Deep Learning Specialization from Andrew Ng teach the most important and foundational principles of Machine Learning and Deep Learning. This new deeplearningai TensorFlow Specialization teaches how to use TensorFlow to implement those principles, so that students can start building and applying scalable models to real-world problems.

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faq FAQ for Tensorflow 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 Coursera, 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 755 people have participated in this course. The duration of this course is 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 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 Tensorflow courses and certifications, our extensive collection at azclass.net will help you.

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