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AI · July 31, 2017

TensorFire

Blazing-fast in-browser neural networks

TensorFire launched on July 31, 2017 with 99 votes, #396 of 2,972 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 9 years on.

What it does

TensorFire runs neural networks in the browser using WebGL . TensorFire is a framework for running neural networks in the browser, accelerated by WebGL. Applications powered by TensorFire can utilize deep learning in almost any modern web browser with no setup or installation. TensorFire models run up to 100x faster than previous in-browser neural network libraries, at speeds comparable to highly-optimized native CPU code. TensorFire has two parts: a low-level language based on GLSL for easily writing massively parallel WebGL shaders that operate on 4D tensors, and a high-level library for importing models trained with Keras or TensorFlow. It works on any GPU, whether or not it supports…from tenso.rs

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