3 ms·
Really cool demo. How does this compare to https://github.com/transcranial/keras-js https://github.com/transcranial/keras-js ? Do the authors have a licence in
by zitterbewegung 9y ago
Really cool demo. How does this compare to https://github.com/transcranial/keras-js https://github.com/transcranial/keras-js ? Do the authors have a licence in mind?
- bijection 9y agoTensorFire is up to an order of magnitude faster than keras-js because it doesn't have to shuffle data back and forth between the gpu and cpu. Also TensorFire can run on browsers and devices that don't support OES_TEXTURE_FLOAT. We will probably release it under an MIT license.
- espadrine 9y agoHow does it compare to WebDNN[0]? It seems like a closer comparison, especially with WebGPU. It would be good if you had a comparative benchmark on the website. [0]: https://mil-tokyo.github.io/webdnn/ https://mil-tokyo.github.io/webdnn/
- bijection 9y agoAt the moment WebDNN only runs models on the GPU in Safari Technology Preview, falling back to CPU on all other platforms / browsers: https://mil-tokyo.github.io/webdnn/#compatibility https://mil-tokyo.github.io/webdnn/#compatibility
- zitterbewegung 9y agoI'm really interested in using Smartphones / Mobile devices for inference. Can this work with react-native so that I can build it without a bridge ? I would assume I would create a webview that would load a local website.