Applied deep learning and computer vision for self-driving cars : build autonomous vehicles using deep neural networks and behavior-cloning techniques /

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This book teaches you the different techniques and methodologies associated while implementing deep learning solutions in self-driving cars. You will use real-world examples to implement various neural network architectures to develop your own autonomous and automated vehicle using the Python enviro...

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Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Ranjan, Sumit (Author), Senthamilarasu, S. (Author)
Format: Electronic eBook
Language:Inglés
Published: Birmingham : Packt Publishing, 2020.
Subjects:
Automated vehicles > Computer simulation.
Machine learning.
Neural networks (Computer science)
Véhicules autonomes > Simulation par ordinateur.
Apprentissage automatique.
Réseaux neuronaux (Informatique)
Online Access:Texto completo (Requiere registro previo con correo institucional)
Description
Summary:This book teaches you the different techniques and methodologies associated while implementing deep learning solutions in self-driving cars. You will use real-world examples to implement various neural network architectures to develop your own autonomous and automated vehicle using the Python environment.
Item Description:Table of ContentsThe Foundation of Self-Driving CarsDive Deep into Deep Neural NetworksImplementing a Deep Learning Model using KerasComputer Vision for Self-Driving CarsFinding Road Markings using OpenCVImproving the Image Classifier with CNNRoad Sign Detection using Deep LearningThe Principles and Foundations of Semantic SegmentationImplementation of Semantic SegmentationBehavior Cloning using Deep LearningVehicle Detection using OpenCV and Deep LearningNext Steps.
Physical Description:1 online resource
ISBN:1838647023
9781838647025

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