ملف الباحث
Sekou L. Remy
ورقة واحدة في مجموعة PaperMetrix
المنشورات
أوراق هذا المؤلف
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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 …