wassname/keras-js

mirror of https://github.com/wassname/keras-js.git synced 2026-09-21 13:00:24 +08:00

T

Leon Chen 4c2fec288b remove .only from test

2016-09-17 00:24:58 -04:00

remove gpu.js

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

implement Embedding layer, with tests

2016-09-13 09:51:48 -04:00

implement Embedding layer, with tests

2016-09-13 09:51:48 -04:00

remove .only from test

2016-09-17 00:24:58 -04:00

.gitignore

ignore hdf5 files

2016-09-16 15:55:45 -04:00

encoder.py

implement python encoder for weights hdf5 -> weights gzipped binary buffer file and weights metadata file

2016-09-16 23:15:36 -04:00

index.html

implement Embedding layer, with tests

2016-09-13 09:51:48 -04:00

LICENSE

initial commit

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

package.json

enable async and update webpack config

2016-09-16 15:55:28 -04:00

README.md

start implementation of activations

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

webpack.dev.config.js

enable async and update webpack config

2016-09-16 15:55:28 -04:00

webpack.prod.config.js

enable async and update webpack config

2016-09-16 15:55:28 -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