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This example demonstrated loading a model and using it in the browser. This model is trained to predict the sentiment of a short restaurant review (as a score between 0 and 1). The training is done server side using Python and then converted into a TensorFlow.js model. The model is trained using YELP reviews that have been truncated to a maximum of 18 words, only the 2000 most used words in the reviews are used. You can experiment with the model on this page.

HTML 4.65% JavaScript 6.60% CSS 7.86% Jupyter Notebook 80.89%

nlp-in-tfjs's Introduction

Hi 👋, I'm Eryanto Agusriadi

A passionate mobile developer from Indonesia

All of my projects are available at https://eryantoa.github.io

Coding

  • 🌱 I’m currently learning React js

Connect with me:

eryanto_agusri eryanto-agusriadi eryanto.agusriadi

Languages and Tools:

android blender codeigniter dart figma firebase flutter illustrator laravel photoshop reactnative unity

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