  Masterful is a software platform to train deep learning computer vision
models. Data and model architecture are inputs to the platform, and the output
is a trained model. The platform's primary goal is to maximize a trained
model's accuracy, which it achieves through its regularization and
semi-supervised learning implementations. The platform's secondary goal is to
minimize the amount of manual experimentation typically required to tune
training hyperparameters, which it achieves via multiple metalearning
algorithms which are custom built to control the platform's regularization and
semi-supervised learning implementations. The platform's tertiary goal is to
minimize the computing resources required to train a model, which it achieves
via another set of metalearning algorithms which are purpose built to control
Tensorflow's optimization implementations. The platform builds on top of
Tensorflow's data management, architecture, automatic differentiation, and
optimization implementations.
