Month: May 2016

Deep Neural Network Hyper-Parameter Optimization

Rescale’s Design-of-Experiments (DOE) framework is an easy way to optimize the performance of machine learning models. This article will discuss a workflow for doing hyper-parameter optimization on deep neural networks. For an introduction to DOEs on Rescale, see this webinar. […]

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Train your TensorFlow Models on Rescale

Google released TensorFlow (, an open source machine learning library, last November which attracted huge attention in the field of AI. TensorFlow is also known as “Machine Learning for Everyone” since it is relatively easy to hands-on even for those […]

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