Basic Image Classification with TensorFlow faq

star-rating
5
learnersLearners: 33
instructor Instructor: Amit Yadav instructor-icon
duration Duration: duration-icon

Learn how to use TensorFlow to classify images with confidence, accuracy, and ease with this comprehensive online course.

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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:

10th 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]

What does this course tell?
(Please note that the following overview content is from Alison)
In this 2-hour long project-based course you will learn the basics of using Keras with TensorFlow as its backend and use it to solve a basic image classification problem By the end of this project you will have created trained and evaluated a Neural Network model that will be able to predict digits from hand-written images with a high degree of accuracy You also will have learned the fundamentals of neural networks TensorFlow and Keras

Note: This course works best for learners who are based in the North America region We're currently working on providing the same experience in other regions

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?
Participants will acquire fundamental skills in utilizing Keras alongside TensorFlow's backend. Through a project-based approach, they will learn to solve basic image classification challenges. By the course's conclusion, learners will have the ability to create, train, and assess a Neural Network model capable of accurately predicting digits from hand-written images. Additionally, participants will gain essential knowledge about neural networks, TensorFlow, and Keras fundamentals. Please note that this course is optimized for learners located in the North America region, and efforts are underway to extend the same experience to other regions.
lHow does this course contribute to professional growth?
Through a project-based structure, learners attain the ability to address basic image classification challenges effectively. Upon completion, participants will have developed, trained, and evaluated a Neural Network model with a notable accuracy in predicting digits from hand-written images. Additionally, they will have acquired a strong grasp of fundamental concepts concerning neural networks, TensorFlow, and Keras. This newfound expertise equips professionals with practical skills applicable in various real-world scenarios, enhancing their capabilities and value within the field. While initially tailored for North American learners, efforts are underway to extend this enriching experience to individuals in other regions, further broadening its impact on professional growth.

Is this course suitable for preparing further education?
Yes, by mastering the basics of using Keras with TensorFlow and solving image classification problems, learners can establish a solid foundation in machine learning and neural networks. This knowledge is highly relevant to many advanced courses and programs in the field of artificial intelligence, data science, and deep learning. The skills acquired in this course, including creating, training, and evaluating Neural Network models, will undoubtedly provide a valuable framework for pursuing more advanced studies in these areas.

Course Provider

Provider Coursera's Stats at AZClass

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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 33 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 Tensorflow courses and certifications, our extensive collection at azclass.net will help you.

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