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R Deep Learning Projects

You're reading from   R Deep Learning Projects Master the techniques to design and develop neural network models in R

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Product type Paperback
Published in Feb 2018
Publisher Packt
ISBN-13 9781788478403
Length 258 pages
Edition 1st Edition
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Authors (2):
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Yuxi (Hayden) Liu Yuxi (Hayden) Liu
Author Profile Icon Yuxi (Hayden) Liu
Yuxi (Hayden) Liu
Pablo Maldonado Pablo Maldonado
Author Profile Icon Pablo Maldonado
Pablo Maldonado
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Toc

Traffic Sign Recognition for Intelligent Vehicles

Convolutional neural networks (CNNs) are so useful in computer vision that we are going to use one for another application, traffic sign detection for intelligent vehicles. We will also cover several important concepts of deep learning in this chapter and will get readers exposed to other popular frameworks and libraries for deep learning.

We continue our R deep learning journey with one of the core problems in self-driving cars, object recognition, and to be specific, traffic sign classification. To avoid accidents and ensure safety, robust traffic sign classification is critical to realizing driving autonomy. We will start with what self-driving cars are and what aspects deep learning is applied to. We will also discuss how deep learning stands out and becomes the state-of-the-art solution for object recognition in intelligent...

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