TensorFlow Model Optimization Toolkit -- Pruning API

Since we introduced the Model Optimization Toolkit -- a suite of techniques that developers, both novice and advanced, can use to optimize machine learning models -- we have been busy working on our roadmap to add several new approaches and tools. Today, we are happy to share the new weight pruning API. Optimizing machine learning programs can take very different forms. Fortunately, neural networks have proven resilient to different transformations aimed at this goal. One such family of optimizations aims to reduce the number of parameters and operations involved in the computation by removing connections, and thus parameters, in between neural network layers.