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Hands-On Python Deep Learning for the Web
book

Hands-On Python Deep Learning for the Web

by Anubhav Singh, Sayak Paul
May 2020
Intermediate to advanced
404 pages
10h 52m
English
Packt Publishing
Content preview from Hands-On Python Deep Learning for the Web

Why TF.js?

As we saw in the previous chapter, it is quite easy and intuitive to simply train and host a model online, wrap it up in a REST API, and then use the API on any frontend to display our results. Why, then, would the need to use TF.js arise?

A simple answer to this question would be if there is an AI in the browser! Think of a game that requires the use of an AI agent that learns from the human player's method of playing to become tougher or easier as the game progresses. Now, this would be overkill if, at every split second, the game kept sending requests to the server to transfer data to and from the game and the server. What's more, it might easily result in a Denial of Service (DoS) attack.

So, having an AI that can live and ...

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Publisher Resources

ISBN: 9781789956085