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Autonomous cars : deep learning and computer vision in Python /

Learn: Identify lane markings in images and detect cars and pedestrians using a trained classifier and SVM Classify traffic signs using CNNs. Analyze and visualize data with NumPy, Pandas, Matplotlib, and Seaborn Process image data using OpenCV Sharpen and blur images with convolution and detect edg...

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Bibliographic Details
Main Authors: Ahmed, Ryan (Author), Kane, Frank (Programmer) (Author), Bouchard, Mitchell (Author)
Format: Video
Language:English
Language Notes:In English.
Published: Birmingham, England : PACKT Publishing, 2019.
Series:Academic Video Online
Subjects:
Python (Computer program language)
Machine learning.
Computer vision.
OpenCV (Computer program language)
Neural networks (Computer science)
Neural Networks, Computer
Machine Learning
Python (Langage de programmation)
Apprentissage automatique.
Vision par ordinateur.
OpenCV (Langage de programmation)
Réseaux neuronaux (Informatique)
Computer vision
Machine learning
Instructional films
Instructional films.
Films de formation.
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