شماره ركورد كنفرانس :
3704
عنوان مقاله :
پردازش زبان طبيعي براساس يادگيري عميق و ارزيابي مدل
عنوان به زبان ديگر :
Natural Language Processing Based on Deep Learning and Model Evaluation
پديدآورندگان :
Kekha Javan Ali Akbar kikha_akbar@yahoo.com Islamic Azad University, Zabol , Reza Pourmir Mohammad pormir10@yahoo.com Islamic Azad University, Zabol
تعداد صفحه :
10
كليدواژه :
يادگيري عميق , پردازش زبان طبيعي , شبكه عصبي عميق
سال انتشار :
1396
عنوان كنفرانس :
پنجمين كنفرانس بين المللي در مهندسي برق و كامپيوتر با تاكيد بر دانش بومي
زبان مدرك :
انگليسي
چكيده فارسي :
Deep learning is a branch of machine learning discussion and a set of algorithms that attempt to model high- level abstractions using learning at different levels and layers. In fact, deep learning is a new approach in neural networks existed for many years and shows itself in a new form every few years. In this study, we want to use deep learning in the field of natural language analysis. Specifically, we will predict the best word based on previous words, and we will introduce a deep recursive model for the analysis of natural language
چكيده لاتين :
Deep learning is a branch of machine learning discussion and a set of algorithms that attempt to model high- level abstractions using learning at different levels and layers. In fact, deep learning is a new approach in neural networks existed for many years and shows itself in a new form every few years. In this study, we want to use deep learning in the field of natural language analysis. Specifically, we will predict the best word based on previous words, and we will introduce a deep recursive model for the analysis of natural language
كشور :
ايران
لينک به اين مدرک :
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