Building Machine Learning Solutions with TensorFlowjs faq

learnersLearners:
instructor Instructor: Abhishek Kumar instructor-icon
duration Duration: 5.00 instructor-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.

Course Feature Course Overview Course Provider
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

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