# mxnet.js

**Repository Path**: iloseall/mxnet.js

## Basic Information

- **Project Name**: mxnet.js
- **Description**: MXNetJS: Javascript Package for Deep Learning in Browser (without server)
- **Primary Language**: JavaScript
- **License**: Apache-2.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-06-21
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

MXNetJS Deep Learning in Browser
================================
MXNetJS is the [dmlc/mxnet](https://github.com/dmlc/mxnet) Javascript package. MXNetJS brings state of art deep learning prediction API to the browser.
It is generated with [Emscripten](https://github.com/kripken/emscripten) and [Amalgamation](https://github.com/dmlc/mxnet/tree/master/amalgamation).
MXNetJS allows you to run prediction of state-of-art deep learning models in any computational graph, and brings fun of deep learning to client side.


Try it on Browser
-----------------

Online: [http://webdocs.cs.ualberta.ca/~bx3/mxnet/classify.html](http://webdocs.cs.ualberta.ca/~bx3/mxnet/classify.html)

Local:
Python User:
```
python -m SimpleHTTPServer
```
Then open browser http://localhost:8000/classify.html

NodeJS User:
```
npm install http-server -g
http-server
```
Then open browser http://127.0.0.1:8080/classify.html

See [classify_image.js](classify_image.js) for how it works.

Speed
-----
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](tools/model2json.py) to convert the model into json format and you are ready to go.

Library Code
------------
- [mxnet_predict.js](mxnet_predict.js) contains documented library code.
  - This is the code developer can call from
- libmxnet_predict.js is automatically generated by ```make rebuild``` and should not be modified by hand.

Resources
--------
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!