[axel180]

1. Tensorflow.js closely (not exactly) mirrors the python counterpart, and its api's, and thinking. We feel it does not reflect node ideologies well. And not the shify, what is in today is out tomorrow, thinking. The thinking that is practical, and applies well to business tastics. Brain.js started in node, and was original in its way it tackled the problem. Being data first, easy api, and then speed. It just works. 2. The vast majority of machine learning needs are encompassed within the library, and are only getting better. 3. The library can be learned in a matter of hours rather than weeks or months. 4. We can do it faster, simpler, than tensorflow.js. GPU support is coming in NodeJS, but is already partially implemented for browser, with fallback to CPU. 5. Brain.js was measured, where its benchmark was even better than industry standards, including IBM's Watson: https://github.com/jesus-seijas-sp/demo-nlp (note: project uses brain.js). Tensorflow.js isn't mentioned in this link, but I talked with the author about using Tensorflow.js, which he did try for this exact project, and his exact reply was: "with tensorflow.js same implementation I got a 0.91, but taked more time to train with CPU" (complete with typo) 6. Any corporation as powerful as those who maintain tensorflow should not have all the say in something as powerful as machine learning. Everyone should, and can. 7. We choose to.