A Review of Deep Learning with Recurrent Neural Network

M. Kaur, Aakash Mohta
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引用次数: 25

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.
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递归神经网络深度学习研究综述
递归神经网络(RNN)是一种使用监督学习概念的深度学习模型。深度学习属于机器学习的家族。它也被称为分层学习或深度结构化学习。经典的机器学习算法是明确的,而深度学习算法遵循命令链。深度学习有能力处理更复杂的神经网络,它主要处理序列数据。循环网络可以一次处理一个例子,保留一个元素,这反映了很长一段时间。
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