With a background in cognitive psychology and neuroscience, Matt has extensive experience in hypothesis testing and the analysis of complex datasets. He is excited about using predictive models and other statistical methods to solve real-world problems.
In this post, we’ll provide a short tutorial for training a RNN for speech recognition; we’re including code snippets throughout, and an accompanying GitHub repository. The software we’re using is a mix of borrowed and inspired code from existing open source projects.
In early December we hosted a meetup, featuring Dr. Alli Gilmore discussing topological data analysis, and Dr. Andrew Zaldivar covering practical usage of Tensorflow.
One might reasonably judge how well the congress reflects the views of the citizenry by examining the proportion of those citizens who think congress is doing a good job.