ملف الباحث

Sekou L. Remy

ورقة واحدة في مجموعة PaperMetrix

المنشورات

أوراق هذا المؤلف

  1. Characterizing the hyper-parameter space of LSTM language models for mixed context applications

    2017 · arXiv (Cornell University)

    Applying state of the art deep learning models to novel real world datasets gives a practical evaluation of the generalizability of these models. Of importance in this process is how sensitive the hyper parameters of …