Once your company become skilled at writing the V5 hardware specific backend for Tensorflow, I suspect you will have a valuable skill that can be easily marketed to other chip vendors making AI engines. It pretty obvious than every chip vendor is going to start adding AI engines to their SOCs. That implies that every chip vendor will also need Tensorflow (or similar) drivers for their hardware.
I just noticed that Google has a new lightweight run-time for Tensorflow.
https://www.tensorflow.org/lite/
https://github.com/tensorflow/tensorflow...rflow/lite
This library supports being modified for custom hardware. It also designed for lower memory environments like an embedded device or cell phone. It is used in Nest camera.
I just noticed that Google has a new lightweight run-time for Tensorflow.
https://www.tensorflow.org/lite/
https://github.com/tensorflow/tensorflow...rflow/lite
This library supports being modified for custom hardware. It also designed for lower memory environments like an embedded device or cell phone. It is used in Nest camera.