Implementing KNN Classification with TensorlFlow.js

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

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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Published via Towards AI