Building Machine Learning Solutions with TensorFlowjs faq

star-rating
5
instructor Instructor: Abhishek Kumar instructor-icon
duration Duration: 5.00 duration-icon

This course teaches developers how to use TensorFlow.js to create, train, and deploy machine learning and deep learning models in JavaScript. Participants will gain the skills to power client-side and server-side applications with machine learning, enabling them to build powerful machine learning solutions.

ADVERTISEMENT

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

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 of this course will gain a comprehensive understanding of the TensorFlow.js ecosystem and how to use it to build, train, and deploy machine learning and deep learning models. They will learn how to use the environment to build an end-to-end machine learning application that uses natural language processing (NLP) to detect toxic elements in unstructured text. They will also learn how to import and process data, build, train, and export a model, and finally predict using the trained model. Additionally, they will explore how to use existing models trained in Python on the client-side using TensorFlow.js, and even retrain the pre-trained model using transfer learning. By the end of this course, learners will have the skills and knowledge of TensorFlow.js to build, train, and deploy machine learning and deep learning models on the client-side, as well as on the server-side that can power sophisticated applications.

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 Tensorflow skills no matter in career or in further education. Even if you are only slightly interested, you can take Building Machine Learning Solutions with TensorFlowjs course with confidence!

learners

31,000 Learners

courses

7,000 Courses

Rating Grade: B This is a trending provider perfect for gaining traction and maybe a good option for users who are looking for a reliable source of learning content.

Discussion and Reviews

0.0   (Based on 0 reviews)

Start your review of Building Machine Learning Solutions with TensorFlowjs

faq FAQ for Tensorflow Courses

Q1: What is the purpose of Building Machine Learning Solutions with TensorFlowjs?

Building Machine Learning Solutions with TensorFlowjs is a course designed to teach students how to use the TensorFlowjs library to create and deploy machine learning solutions. The course covers topics such as artificial intelligence, deep learning, neural networks, data science, and JavaScript. Students will learn how to use TensorFlowjs to build and deploy machine learning models, as well as how to use the library to create and deploy web applications.

Q2: What topics are covered in Building Machine Learning Solutions with TensorFlowjs?

Building Machine Learning Solutions with TensorFlowjs covers topics such as artificial intelligence, deep learning, neural networks, data science, and JavaScript. Students will learn how to use TensorFlowjs to build and deploy machine learning models, as well as how to use the library to create and deploy web applications. Additionally, the course will cover topics such as data preprocessing, model evaluation, and model optimization.

Q3: 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.

Q4: 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.

Q5: 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 5.00 hour(s). Please arrange it according to your own time.

Q6: 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 Tensorflow courses and certifications, our extensive collection at azclass.net will help you.

close

To provide you with the best possible user experience, we use cookies. By clicking 'accept', you consent to the use of cookies in accordance with our Privacy Policy.