Fully Configurable TensorFlow Models

[3ygun]

Goal

Allow for the Android app to use any TensorFlow model with a supplied configuration file for retrieving the weights and biases. (Most of the big points on #28)

Parts

• Complete Android TensorFlow (with wifi & refractoring changes) #32 basic TensorFlow in the app

• Add ability for server to supply the fields to get the weight values trainable parameters

• Add ability for app to get & send all the fields supplied by the server

• Test that everything is happening

• Supply a program (set of python methods) to CrowdML supervisors that will populate the .json configuration data needed

  • Should give named parameters from the graph/model and populate the feature sizes etc.
  • Something like call:

  def generateCrowdMLTFConfig(session):
      ...

[tylermzeller]

Bullets 2 and 3 have been updated with the current work I have implemented. I should have a PR soon.