No More OOM-Exceptions During Hyperparameter Searches in TensorFlow

Machine learning is no longer hype but at the core of everyday products. Ever faster hardware makes it possible to train ever larger machine learning models -- in shorter times, too. With around 100 papers submitted per day on machine learning or related domains to arXiv, chances are high that at least one-third of them have leveraged the hardware's capabilities to do hyperparameter searches to optimize their used model. And that's straightforward, is it not? At least, that's what frequently happens with TensorFlow.