I remember this podcast from him where he talks about why he left Apple: http://atp.fm/episodes/205. It's very funny/weird when he says casually: I started clang [...] and then I started LLVM [...] and then I started swift... When you think about it, someone had to start those projects. I hope he does well at Google Brain.
Exciting to see that Google is strengthening Tensorflow. Thanks to TF that popular and elementary AI is now easier to implement for more startups and developers.
I am not sure if this comment has been built by a bot given positive sentiment to TF. Maybe the first step to skynet is applying aggressive marketing for the framework itself to bootstrap itself?
Just joking, it's a nice framework. However don't forget other projects like caffe which also contributed to ML and DL research.
A real human at your service. I love bots, but am fortunately not one.
Also interesting is that Ryan Dahl, Node.js creator, is also now working on TensorFlow.
What a great hire, but he should probably start something new rather than work on Tensorflow. Obviously he likes to create new things. Not sure what google is thinking here. Maybe he'll create a higher level language to TF?
I think tflearn already occupies that space and it's pretty solid
There's a lot of things to do in TensorFlow that involve a lot of work (and could even be its own project). Namely support for dynamic computation graphs (a-lá PyTorch). TF as it is is great for production, and even for research, but a lot of people in the latter are starting to look at PyTorch more and more for prototyping.