IDEA: I want to offer you a method that put production of a new type of layers on an industrial scale.
PROBLEM: How to turn a neural network in mathematical formula suited for a creation of an absolutely new type of layer for TensorFlow. It might be used in TensorFlow, Keras,  PyTorch or anything.
HOW:
1, You trained your network for particular industry application and invested a lot of computational power to make it work. And this neural network work for solving a particular problem in a particular industry very well.


You freeze all layers in your neural network.


Let’s suppose we have an MSE loss for a simplicity.


Then you start to training target(label) looking for INTEGRAL of a function of your neural network. It will produce a mathematical formula describing a neural network. Let’s call ANTI GRAD algorithm.**


After it’s done you have a mathematical formula that can easily be turned into a new type of layer for particular industry application with a simple(you can tune simplicity) formula for Chemistry, Economics, Medicine.*


APPLICATION:


Creation of new type of layers suited for particular industries and application.


Research work can be enhanced. We are turning a neural network into the classic mathematical language.


COMMENTS:
It would require a team of programmers to make it work. So, I am looking for new opportunities and the team to make it happen.