Implementing KNN Classification with TensorlFlow.js
Last Updated on March 21, 2023 by Editorial Team
Author(s): Jesse Langford
Originally published on Towards AI.
By New Africa
In this article, I will show how to implement a K-Nearest Neighbor classification with Tensorflow.js. TensorFlow.js is an open-source library for machine learning, capable of running in the browser or on Node.js. It enables web developers to build and train machine learning models directly in JavaScript, and use these models in web applications. TensorFlow.js is built on top of TensorFlow, a popular machine-learning framework developed by Google.
KNN (K-Nearest Neighbors) classification is a supervised machine learning algorithm used for classification tasks. The basic idea of KNN classification is to find the K closest data points in the training set… Read more
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