SN Video coding and web development. Deploying TensorFlow models to a web application / Springer.

Format:

Video

Contributor:

Karunanidhi, Vikraman, speaker.

Springer Nature (Firm), publisher.

Series:

Academic Video Online

Language:

English

Subjects (All):

TensorFlow.

Machine learning.

Artificial intelligence.

JavaScript (Computer program language).

Application software--Development.

Application software.

Web applications.

Genre:

Instructional films.

Physical Description:

1 online resource (35 minutes)

Other Title:

Deploying TensorFlow models to a web application

Springer Nature video coding and web development

Place of Publication:

London, England : Springer Nature, 2020.

Language Note:

In English.

System Details:

video file

Summary:

Implement machine learning to realize the power of AI algorithms. Developers and companies often struggle to deploy machine learning models efficiently. One of the main reasons for this is a lack of proper process set up and execution. After getting feedback and comments from his YouTube subscribers, Vikraman has created a system of step-by-step instructions for the process. Using TensorFlow.js, you'll walk through the process of deploying machine learning models in web applications. You'll learn to deploy these models at scale and to work with users' existing hardware such as web cams to accomplish common machine learning tasks.

Notes:

Title from resource description page (viewed March 10, 2021).

OCLC:

1245589371