Computer Vision Fundamentals with Google Cloud faq

instructor Instructor: Google Cloud instructor-icon
duration Duration: 4.00 duration-icon

This course provides an overview of computer vision fundamentals and explores how to use Google Cloud to implement machine learning strategies for various computer vision use cases. Learn how to apply the latest technologies to solve real-world problems.

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Course Feature Course Overview Course Provider Discussion and Reviews
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Course Feature

costCost:

Free Trial

providerProvider:

Pluralsight

certificateCertificate:

Paid Certification

languageLanguage:

English

start dateStart Date:

On-Demand

Course Overview

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

Updated in [February 21st, 2023]

Learners can learn the fundamentals of computer vision and how to apply them to real-world problems. They will gain an understanding of the different types of computer vision use cases and the machine learning strategies used to solve them. They will learn how to build and optimize their own image classification models using linear models, deep neural networks, and convolutional neural networks. They will also learn how to improve model accuracy with augmentation, feature extraction, and hyper-parameter tuning. Finally, they will gain an understanding of practical issues that arise when working with computer vision, such as how to incorporate the latest research findings and how to work with limited data.

Course Provider

Provider Pluralsight's Stats at AZClass

Pluralsight ranked 16th on the Best Medium Workplaces List.
Pluralsight ranked 20th on the Forbes Cloud 100 list of the top 100 private cloud companies in the world.
Pluralsight Ranked on the Best Workplaces for Women List for the second consecutive year.
AZ Class hope that this free trial Pluralsight course can help your Computer Vision skills no matter in career or in further education. Even if you are only slightly interested, you can take Computer Vision Fundamentals with Google Cloud course with confidence!

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Quiz

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1. What type of models can be used to build custom image classifiers?

2. What is the purpose of augmentation?

3. What is the purpose of feature extraction?

4. What is the purpose of fine-tuning hyper-parameters?

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faq FAQ for Computer Vision Courses

Q1: Does the course offer certificates upon completion?

Yes, this course offers a free trial 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 0 people have participated in this course. The duration of this course is 4.00 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 Pluralsight'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."
Pluralsight 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 Computer Vision courses and certifications, our extensive collection at azclass.net will help you.

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