TensorFlow.js gallery
A hardware-accelerated JavaScript library for training and deploying machine learning models in browsers and Node.js.
What is TensorFlow.js gallery?
TensorFlow.js is an open-source JavaScript library for machine learning that runs in browsers and Node.js. It provides hardware-accelerated APIs for training and deploying ML models, enabling developers to build intelligent applications without relying on server-side infrastructure. The library supports both low-level linear algebra operations and high-level layers similar to Keras.
JavaScript developers and data scientists who want to integrate machine learning into web applications, Node.js services, or client-side projects. It's also suitable for educators and researchers exploring ML in browser environments.
Developers choose TensorFlow.js for its seamless integration with the JavaScript ecosystem, hardware acceleration via WebGL/WebGPU, and the ability to run ML models entirely client-side for privacy and low latency. It offers a consistent API across browsers and Node.js with support for importing pre-trained TensorFlow models.
Overview
A WebGL accelerated JavaScript library for training and deploying ML models.
Use Cases
Best For
- Building interactive ML demos that run entirely in the browser
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