TensorFlow for CNNs: Learn and Practice CNNs faq

learnersLearners: 1
instructor Instructor: Mo Rebaie instructor-icon
duration Duration: duration-icon

Learn the fundamentals of TensorFlow and Convolutional Neural Networks (CNNs) with this comprehensive online course, and practice building CNNs with hands-on exercises to gain the skills you need to succeed.

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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]

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?
In this 2-hour long project-based course, learners will acquire the fundamentals of CNNs structure components and how they work. They will learn how to solve an image classification deep learning task in the real world and create, train, and test a neural network with TensorFlow using real-world images. Learners will also gain a bonus deep learning exercise implemented with TensorFlow. By the end of this project, learners will have learned the fundamentals of convolutional neural networks and created a deep learning model with TensorFlow on a real-world dataset. This course will help learners reinforce their skills and build more projects with TensorFlow, as well as provide them with further knowledge about creating and training convolutional neural networks. This will help them in fulfilling their career goals by adding this project to their portfolios.
lHow does this course contribute to professional growth?
This course contributes to professional growth by providing learners with the opportunity to learn the fundamentals of convolutional neural networks and create a deep learning model with TensorFlow on a real-world dataset. Learners will gain practical experience in working with convolutional neural networks and using Python for building convolutional neural networks with TensorFlow. This project also provides learners with further knowledge about creating and training convolutional neural networks and improves their skills in Tensorflow, which can help them in fulfilling their career goals by adding this project to their portfolios.

Is this course suitable for preparing further education?
This course is suitable for preparing further education as it provides learners with the fundamentals of convolutional neural networks and the practical skills to create and train a neural network with TensorFlow on a real-world dataset. Learners will gain a better understanding of how to work with convolutional neural networks and use Python for building convolutional neural networks with TensorFlow. Additionally, this project provides learners with further knowledge about creating and training convolutional neural networks and improves their skills in Tensorflow, which can help them in fulfilling their career goals by adding this project to their portfolios.

Course Provider

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faq FAQ for Tensorflow 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 1 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.
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Add your desired course to your cart.
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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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