Guide to Convolutional Neural Networks: A Practical Application to Traffic-Sign Detection and Classification free ebook download.

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Guide to Convolutional Neural Networks: A Practical Application to Traffic-Sign Detection and Classification free ebook download

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Algorithms

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Catalogue

Author(s):	Hamed Habibi Aghdam

Date:	2017	Format:	PDF	Language:	English	ISBN/ASIN:	331957549X
Pages:	1	OCR:		Quality:		ISBN13:
Uploader:	eternal	Upload Date:	12/31/2019 8:42:37 AM

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This must-read text/reference introduces the fundamental concepts of convolutional neural networks (ConvNets), offering practical guidance on using libraries to implement ConvNets in applications of traffic sign detection and classification. The work presents techniques for optimizing the computational efficiency of ConvNets, as well as visualization techniques to better understand the underlying processes. The proposed models are also thoroughly evaluated from different perspectives, using exploratory and quantitative analysis.
Topics and features: explains the fundamental concepts behind training linear classifiers and feature learning  discusses the wide range of loss functions for training binary and multi-class classifiers  illustrates how to derive ConvNets from fully connected neural networks, and reviews different techniques for evaluating neural networks  presents a practical library for implementing ConvNets, explaining how to use a Python interface for the library to create and assess neural networks  describes two real-world examples of the detection and classification of traffic signs using deep learning methods  examines a range of varied techniques for visualizing neural networks, using a Python interface  provides self-study exercises at the end of each chapter, in addition to a helpful glossary, with relevant Python scripts supplied at an associated website.
This self-contained guide will benefit those who seek to both understand the theory behind deep learning, and to gain hands-on experience in implementing ConvNets in practice. As no prior background knowledge in the field is required to follow the material, the book is ideal for all students of computer vision and machine learning, and will also be of great interest to practitioners working on autonomous cars and advanced driver assistance systems.
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	Title	Link	Password	Size (MB)	Thank to	Inform Admin
2665376	Book	http://k2s.cc/file/a9e4025dd9740...		13.62	eternal

Tags: Application Classification Convolutional Detection Guide Networks Neural Practical Traffic-Sign

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