wassname/keras-js

mirror of https://github.com/wassname/keras-js.git synced 2026-09-23 13:20:45 +08:00

T

Leon Chen fdf8de7e4f mnist convnet demo updates including switch toggle for GPU

2016-09-29 17:17:20 -04:00

mnist convnet demo updates including switch toggle for GPU

2016-09-29 17:17:20 -04:00

remove gpu.js

2016-08-26 23:53:13 -04:00

implement Bidirectional wrapper layer, with tests

2016-09-25 21:45:37 -04:00

implement Bidirectional wrapper layer, with tests

2016-09-25 21:45:37 -04:00

implement Bidirectional wrapper layer, with tests

2016-09-25 21:45:37 -04:00

.gitignore

update mnist convnet demo

2016-09-19 15:57:17 -04:00

encoder.py

update encoder.py

2016-09-17 23:40:34 -04:00

LICENSE

initial commit

2016-08-19 23:02:21 -04:00

package.json

update standard

2016-09-29 14:55:28 -04:00

README.md

start implementation of activations

2016-08-21 21:47:40 -04:00

webpack.dev.config.js

use webpack 2

2016-09-24 15:16:10 -04:00

webpack.prod.config.js

use webpack 2

2016-09-24 15:16:10 -04:00

README.md

Keras.js

Run trained Keras models in your browser, GPU-powered using WebGL.

Why?

You have trained a cool and useful Keras model. Instead of setting up backend servers to process jobs and send the results to your users, you want your model to run as close to your user as possible.

Can I do training?

No. Why would you even want to?

License

MIT