MatrixFlow

This is a dumb simple naive implementation of TensorFlow like framework for matrices. I implemented it as a tiny toy project to learn how a back-propagation work. I tried to keep the code as Scala-ish as possible.

Workshop TODOs

• caching forward pass
• parallelization (SDG)
• probabilistic programming (inspiration)

Possible improvements

Those are just two must have ideas (for me to not to forget):

• the forward pass should be run only once and cached for the backward pass to be efficient.
• create interface for Op such that an explicit function for derivatives of all parameters can be specified
• might be useful when implementing more sophisticated numerical methods...
• ...

Licence MIT