A Review of Deep Learning with Recurrent Neural Network

A Review of Deep Learning with Recurrent Neural Network - 2019

Survey paper on A Review of Deep Learning with Recurrent Neural Network

Research Area: Machine Learning

Abstract:

Recurrent Neural Network (RNN) is a deep learning model that uses the concept of supervised learning. Deep learning belongs to the family of machine learning. It is also called hierarchical learning or deep structured learning. The classic machine learning algorithms are definite, while the deep learning algorithms follow a chain of command. Deep learning has the capability to deal with more complex neural networks and it mainly deals with sequential data. Recurrent networks can process examples one at a time, preserving an element, that reflects over a long period of time.

Keywords:
Neural Network
Recurrent Neural Network
Sequential data
Synchronous
Asynchronous Forward Propagation
Backpropagation
LSTM
Natural Language Processing(NLP)

Author(s) Name: Manjot Kaur; Aakash Mohta

Journal name:

Conferrence name: 2019 International Conference on Smart Systems and Inventive Technology (ICSSIT)

Publisher name: IEEE

DOI: 10.1109/ICSSIT46314.2019.8987837

Volume Information:

Paper Link: https://ieeexplore.ieee.org/abstract/document/8987837

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