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What is TensorFlow.js?

Use flexible and intuitive APIs to build and train models from scratch using the low-level JavaScript linear algebra library or the high-level layers API
TensorFlow.js is a tool in the Machine Learning Tools category of a tech stack.
TensorFlow.js is an open source tool with 16.9K GitHub stars and 1.8K GitHub forks. Here’s a link to TensorFlow.js's open source repository on GitHub

Who uses TensorFlow.js?

Companies
23 companies reportedly use TensorFlow.js in their tech stacks, including Quezx.com, ADEXT, and 8villages.

Developers
129 developers on StackShare have stated that they use TensorFlow.js.

TensorFlow.js Integrations

Pros of TensorFlow.js
5
NodeJS Powered
5
Open Source
2
Deploy python ML model directly into javascript
1
Cost - no server needed for inference
1
Privacy - no data sent to server
1
Runs Client Side on device
1
Can run TFJS on backend, frontend, react native, + IOT
1
Easy to share and use - get more eyes on your research
Decisions about TensorFlow.js

Here are some stack decisions, common use cases and reviews by companies and developers who chose TensorFlow.js in their tech stack.

rashid munir
freelancer at freelancer · | 3 upvotes · 53.8K views

Need your kind suggestion if I should choose TensorFlow.js or TensorFlow with Python for ML models. As I don't want to go and have not gone too deep in JavaScript, I need your suggestion.

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Neel Bavarva
Student at NeelBavarva · | 2 upvotes · 48.7K views
Shared insights
on
TensorFlow.jsTensorFlow.jsPythonPython

I am highly confused about using Machine Learning in Web Development. Should I learn ML in Python or start with TensorFlow.js as I'm a MERN stack developer? If any good resource (course/youtube channel) for learning Tensorflow.js is out there, please share it.

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TensorFlow.js Alternatives & Comparisons

What are some alternatives to TensorFlow.js?
TensorFlow
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
Python
Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.
Tensorflow Lite
It is a set of tools to help developers run TensorFlow models on mobile, embedded, and IoT devices. It enables on-device machine learning inference with low latency and a small binary size.
PyTorch
PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.
scikit-learn
scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
See all alternatives

TensorFlow.js's Followers
363 developers follow TensorFlow.js to keep up with related blogs and decisions.