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What is RNN

Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms
Recurrent neural networks suitable for NLP.
Published in Chapter:
Business and Industrial Applications of Machine Learning Algorithms
DOI: 10.4018/978-1-7998-8350-0.ch005
Abstract
This chapter provides an overview of some popular business and industrial applications of machine learning/data mining algorithms. The survey-like introductory section provides a brief overview of some relevant historical and trending applications, while the other four sections present specific details on four selected business and industrial applications. Each section focuses on a different considered algorithm, namely neural networks, rule induction, tree algorithms, and neighborhood-based algorithms.
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Autonomous Navigation of Rovers Using ML and DL Techniques
It is a form of Neural Networks where one step results act as input to the next step's computations.
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A Study on Deep Learning Methods in the Concept of Industry 4.0
Recurrent neural network is a class of artificial neural networks in which the connections between the nodes form a guided graphic across a temporary array.
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Traffic Analysis of UAV Networks Using Enhanced Deep Feed Forward Neural Networks (EDFFNN)
Recurrent neural network. A recurrent neural network (RNN) is an advanced artificial neural network (ANN) that contains directed cycles in memory.
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Perceiving the World With Sound: An Overview to Robot Audition
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A Study on Deep Learning Methods in the Concept of Digital Industry 4.0
Recurrent neural network is a class of artificial neural networks in which the connections between the nodes form a guided graphic across a temporary array.
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Holistic View on Detecting DDoS Attacks Using Machine Learning
Recursive Neural Network. Supervised method used for classification and regression problems, a class of neural networks that applies the same set of weights recursively over a structured input.
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