Tensorflow in JavaScript about tensorflow-handbook

[huan]

Reviews from @pyu10055:

Overall looks great, couple suggestions.

1. can you add the WeChat plugin support in the overview
2. the converter params have changed, please check 1.x doc
3. please also check node doc
4. the performance numbers are old I will send you a new one.

Thanks for the reviews, I'll looking into them and looking forward to receiving your new performance charts!

[huan]

Reviews from @snowkylin

JavaScript

• Use code reference in RST file instead of hardcoded. (submodule for huan's repo?)
• Code example segment explanation
• Replace the full example code with a link to repo/web
• Make the chapter shorter by moving minor contents into tips box
• Important to tell reader: J's can use to train model: linear regression
• Compare lite(in edge) and serving(in server) with js(in browser)
• JavaScript ES6 Syntax Introduction
  • Fat arrow explanation.
  • import explanation.
• JavaScript in Browser Introduction
  • How to use camera
  • how to animate video
  • how to capture image,
• Mini progromming move to 推荐阅读
• Add a camera demo: interactive on phone.
• Add source link to each image
• The meaning of the JS performance numbers is milliseconds, not 100% percentage.

[snowkylin]

训练一节

1. 介绍一下链式表达式，这一块和Python区别很大，是必须要用链式表达式吗，还是说一般的表达式也可以用（比如tf.add(a, b)）？
2. 关于取值，介绍一下.dataSync()和.arraySync()，还有其他类似的.XXXSync的API吗，看起来是对应于传统的sess.run()或者eager execution的.numpy()，这一块可以系统介绍一下。

[huan]

1. xsRaw.sub(...).div(...) 可以被改写成
   1. tf.sub(xsRaw, ...) https://js.tensorflow.org/api/latest/#sub
   2. tf.div(a, b) https://js.tensorflow.org/api/latest/#div
2. 有三个： dataSync / arraySync / bufferSync 。他们的作用就是把数据从 GPU 里面取回来，和 session.run / .numpy() 的确是一类功能。
   1. A good article: The perils of tensor.dataSync()

我这两个都加一下。