Search: Deep neural networks (DNN) — Academic Articles

Comparative Study of CNN and RNN for Natural Language Processing

Wenpeng Yin, Katharina Kann, Mo Yu, Hinrich Schütze • arXiv (Cornell University) (2017)

Deep neural networks (DNN) have revolutionized the field of natural language processing (NLP). Convolutional neural network (CNN) and recurrent neural network (RNN), the two main types of DNN architectures, are widely explored to handle var...

OPENALEX Open Access DOI: https://doi.org/10.48550/arxiv.1702.01923

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Deep learning for natural language processing: advantages and challenges

Hang Li • National Science Review (2017)

Deep learning refers to machine learning technologies for learning and utilizing ‘deep’ artificial neural networks, such as deep neural networks (DNN), convolutional neural networks (CNN) and recurrent neural networks (RNN). Recently, deep ...

OPENALEX cc-by DOI: https://doi.org/10.1093/nsr/nwx110

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A Review on Conventional Machine Learning vs Deep Learning

Nitin Kumar Chauhan, Krishna Pal Singh • International Conference on Computing, Power and Communication Technologies (GUCON) (2018)

In now days, deep learning has become a prominent and emerging research area in computer vision applications. Deep learning permits the multiple layers models for computation to learn representations of data by processing in their original ...

OPENALEX DOI: https://doi.org/10.1109/gucon.2018.8675097

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Academic Articles & Research Papers

Comparative Study of CNN and RNN for Natural Language Processing

Deep learning for natural language processing: advantages and challenges

A Review on Conventional Machine Learning vs Deep Learning