# TensorFlow.js Samples

TensorFlow.js machine learning examples including neural networks, model training, and tensor operations

> Canonical page: https://elysiatools.com/en/samples/tensorflow-js

- **Category:** Machine Learning

- **Keywords:** tensorflow, tfjs, machine learning, neural network, deep learning

## Overview

TensorFlow.js machine learning examples including neural networks, model training, and tensor operations

## Examples

- **TensorFlow.js Hello World**: Basic TensorFlow.js setup and simple tensor operations
- **Simple Neural Network**: Create and train a simple neural network for classification
- **Linear Regression**: Implement linear regression for predicting continuous values

## When to use

- Use this sample set when you want reference inputs for TensorFlow.js Samples.
- Use it to preview output formats and compare related sample variants.

## How it works

- Open a sample entry to inspect the prepared example payload or asset.
- Compare it with related tools to understand how the workflow connects.

## Use cases

- TensorFlow.js Hello World
- Simple Neural Network
- Linear Regression

## Frequently asked questions

### What is included in TensorFlow.js Samples?

This page includes curated sample entries, related tools, and neighboring sample collections for TensorFlow.js Samples.

## Related tools

- [MAC OUI Vendor Lookup](https://elysiatools.com/en/tools/mac-oui-vendor-lookup): Look up the manufacturer of a MAC address from the IEEE OUI database, or reverse-search a company name to list all its OUI blocks — fully offline

## Related content

- [Brain.js Samples](https://elysiatools.com/en/samples/brainjs): Brain.js neural network examples including feedforward networks, recurrent networks, and LSTM for various machine learning tasks
- [ML5.js Samples](https://elysiatools.com/en/samples/ml5js): ML5.js machine learning examples for creative coding, image classification, pose detection, and neural networks
- [Python ML Libraries Samples](https://elysiatools.com/en/samples/python-ml): Comprehensive Python Machine Learning examples including scikit-learn, TensorFlow, and PyTorch for data science and AI development