Market economies drive the development of superior machine learning models.
Models that maximize accuracy and affordability are profitable. To be competitive, models must improve.
Model sharing encourages code reuse. A model submitted to TensorTask allows the
original author to maintain intellectual property while sharing it with the world. The model
author profits per prediction.
TensorTask acts as a custom operation in TensorFlow.
This allows for integration with preexisting machine learning models.
A REST API grants any networked computer the power of production machine learning.