MXNetJS Deep Learning in Browser
Try it on Browser
Local: Python User:
python -m SimpleHTTPServer
Then open browser http://localhost:8000/classify.html
npm install http-server -g http-server
Then open browser http://127.0.0.1:8080/classify.html
See classify_image.js for how it works.
On Microsoft Edge and Firefox, performance is at least 8 times better than Google Chrome. We assume it is optimization difference on ASM.js.
Use Your Own Model
MXNetJS can take any model trained with mxnet, use tools/model2json.py to convert the model into json format and you are ready to go.
- mxnet_predict.js contains documented library code.
- This is the code developer can call from
- libmxnet_predict.js is automatically generated by
make rebuildand should not be modified by hand.
Machine Eye -http://rupeshs.github.io/machineye/ Web service for local image file/image URL classification without uploading.
Contrbute to MXNetJS
Contribution is more than welcomed!