google-deepmind/sonnet

# Sonnet Documentation | Examples Sonnet is a library built on top of TensorFlow 2 designed to provide simple, composable abstractions for machine learning research. # Introduction Sonnet has been designed and built by researchers at DeepMind. It can be used to construct neural networks for many different purposes (un/supervised learning, reinforcement learning, ...). We find it is a successful abstraction for our organization, you might too! More specifically, Sonnet provides a simple but powerful programming model centered around a single concept: `snt.Module`. Modules can hold references to parameters, other modules and methods that apply some function on the user