Machine Learning Crash Course with TensorFlow APIs faq

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learnersLearners: 1,389
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duration Duration: 15.00 duration-icon

This Machine Learning Crash Course with TensorFlow APIs will help you quickly learn the fundamentals of machine learning and how to use TensorFlow APIs to build powerful models, so you can confidently solve complex problems and create innovative solutions.

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

Course Feature

costCost:

Free

providerProvider:

Grow with Google

certificateCertificate:

No Information

languageLanguage:

English

start dateStart Date:

On-Demand

Course Overview

❗The content presented here is sourced directly from Grow with Google 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)

A self-study guide for aspiring machine learning practitioners Machine Learning Crash Course features a series of lessons with video lectures real-world case studies and hands-on practice exercises

Some of the questions answered in this course:


Learn best practices from Google experts on key machine learning concepts

How does machine learning differ from traditional programming?

What is loss and how do I measure it?

How does gradient descent work?

How do I determine whether my model is effective?

How do I represent my data so that a program can learn from it?

How do I build a deep neural network?



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 the Machine Learning Crash Course with TensorFlow APIs, learners will acquire knowledge and skills in key machine learning concepts, such as loss, gradient descent, model effectiveness, data representation, and deep neural networks. They will also learn best practices from Google experts on these topics.
lHow does this course contribute to professional growth?
This course provides professional growth by teaching aspiring machine learning practitioners best practices from Google experts on key machine learning concepts. It covers topics such as how machine learning differs from traditional programming, how to measure loss, how gradient descent works, how to determine whether a model is effective, how to represent data so that a program can learn from it, and how to build a deep neural network. Through video lectures, real-world case studies, and hands-on practice exercises, this course provides a comprehensive guide to mastering machine learning with TensorFlow APIs.

Is this course suitable for preparing further education?
The Machine Learning Crash Course with TensorFlow APIs is a self-study guide for aspiring machine learning practitioners. It features a series of lessons with video lectures, real-world case studies, and hands-on practice exercises. It covers best practices from Google experts on key machine learning concepts, such as how machine learning differs from traditional programming, how to measure loss, how gradient descent works, how to determine whether a model is effective, how to represent data so that a program can learn from it, and how to build a deep neural network. This course is suitable for preparing further education in machine learning.

Course Provider

Provider Grow with Google's Stats at AZClass

Discussion and Reviews

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faq FAQ for Tensorflow Courses

Q1: 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.

Q2: Can I take this course for free?

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

Q3: How many people have enrolled in this course?

So far, a total of 1389 people have participated in this course. The duration of this course is 15.00 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 Grow with Google'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."
Grow with Google 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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