wassname/keras-js

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

T

Leon Chen 30d045339a implement MaxPooling1D/AveragePooling1D, with tests

2016-08-31 17:00:51 -04:00

remove gpu.js

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

implement MaxPooling1D/AveragePooling1D, with tests

2016-08-31 17:00:51 -04:00

implement MaxPooling1D/AveragePooling1D, with tests

2016-08-31 17:00:51 -04:00

implement MaxPooling1D/AveragePooling1D, with tests

2016-08-31 17:00:51 -04:00

.gitignore

implement dense layer with tests

2016-08-22 05:40:52 -04:00

index.html

implement MaxPooling1D/AveragePooling1D, with tests

2016-08-31 17:00:51 -04:00

LICENSE

initial commit

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

package.json

update tests

2016-08-25 18:03:57 -04:00

README.md

start implementation of activations

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

webpack.dev.config.js

update test helpers

2016-08-22 22:00:54 -04:00

webpack.prod.config.js

UMD webpack build setup

2016-08-21 21:36:07 -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