Learning TensorFlow with JavaScript

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Created by: Emmanuel Henri

Produced in 2018

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Course Description

JavaScript developers can use the TensorFlow framework to create a machine learning (ML) project. This course introduces you to ML basics, and demonstrates how to set up and use TensorFlow to train a model and generate live results. Emmanuel Henri shows how to create a new project; how to work with different tensor types, variables, models, and layers; how to import a project and explore datasets; how TensorFlow executes model training; how to convert a saved model for the web; and more.

Intermediate Level

Time: 59m 23s

Instructor Details

Emmanuel Henri

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Emmanuel Henri is a full-stack developer with 20 years of experience in programming, technology, and design.

Emmanuel has been responsible for all aspects of client-driven web and mobile projects, including timelines and scope. These projects have used JIRA/Atlassian tools, agile methodologies, and languages and frameworks such as React, Angular, Node, Meteor, GraphQL, JavaScript, Swift, HTML, CSS (Sass), MongoDB, and MySQL. He also works in the 3D gaming world, using tools such as Unreal, ZBrush, Maya, and several others. He has a passion for creating applications and games that leverage the latest technologies in the aforementioned tools, frameworks, and languages.

For more information, go to algofields.com.