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Comprehensive Overview of Neural Networks and Its Applications in Autonomous Vehicles

Comprehensive Overview of Neural Networks and Its Applications in Autonomous Vehicles

Jay Rodge, Swati Jaiswal
Copyright: © 2019 |Pages: 15
ISBN13: 9781522579557|ISBN10: 1522579559|ISBN13 Softcover: 9781522591481|EISBN13: 9781522579564
DOI: 10.4018/978-1-5225-7955-7.ch007
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MLA

Rodge, Jay, and Swati Jaiswal. "Comprehensive Overview of Neural Networks and Its Applications in Autonomous Vehicles." Computational Intelligence in the Internet of Things, edited by Hindriyanto Dwi Purnomo, IGI Global, 2019, pp. 159-173. https://doi.org/10.4018/978-1-5225-7955-7.ch007

APA

Rodge, J. & Jaiswal, S. (2019). Comprehensive Overview of Neural Networks and Its Applications in Autonomous Vehicles. In H. Purnomo (Ed.), Computational Intelligence in the Internet of Things (pp. 159-173). IGI Global. https://doi.org/10.4018/978-1-5225-7955-7.ch007

Chicago

Rodge, Jay, and Swati Jaiswal. "Comprehensive Overview of Neural Networks and Its Applications in Autonomous Vehicles." In Computational Intelligence in the Internet of Things, edited by Hindriyanto Dwi Purnomo, 159-173. Hershey, PA: IGI Global, 2019. https://doi.org/10.4018/978-1-5225-7955-7.ch007

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Abstract

Deep learning and Artificial intelligence (AI) have been trending these days due to the capability and state-of-the-art results that they provide. They have replaced some highly skilled professionals with neural network-powered AI, also known as deep learning algorithms. Deep learning majorly works on neural networks. This chapter discusses about the working of a neuron, which is a unit component of neural network. There are numerous techniques that can be incorporated while designing a neural network, such as activation functions, training, etc. to improve its features, which will be explained in detail. It has some challenges such as overfitting, which are difficult to neglect but can be overcome using proper techniques and steps that have been discussed. The chapter will help the academician, researchers, and practitioners to further investigate the associated area of deep learning and its applications in the autonomous vehicle industry.

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