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In den WarenkorbZustand: New. Artificial Vision and Language Processing for Robotics will help you train and deploy models that are built with advanced deep learning techniques and integrate them in a unified end-to-end application. With this book, you will learn all about the three hot.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
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In den WarenkorbPAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
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In den WarenkorbPF. Zustand: New.
Verlag: Packt Publishing Limited, GB, 2019
ISBN 10: 183855226X ISBN 13: 9781838552268
Sprache: Englisch
Anbieter: Rarewaves.com UK, London, Vereinigtes Königreich
EUR 49,45
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In den WarenkorbPaperback. Zustand: New. Create end-to-end systems that can power robots with artificial vision and deep learning techniquesKey FeaturesStudy ROS, the main development framework for robotics, in detailLearn all about convolutional neural networks, recurrent neural networks, and roboticsCreate a chatbot to interact with the robotBook DescriptionArtificial Vision and Language Processing for Robotics begins by discussing the theory behind robots. You'll compare different methods used to work with robots and explore computer vision, its algorithms, and limits. You'll then learn how to control the robot with natural language processing commands. You'll study Word2Vec and GloVe embedding techniques, non-numeric data, recurrent neural network (RNNs), and their advanced models. You'll create a simple Word2Vec model with Keras, as well as build a convolutional neural network (CNN) and improve it with data augmentation and transfer learning. You'll study the ROS and build a conversational agent to manage your robot. You'll also integrate your agent with the ROS and convert an image to text and text to speech. You'll learn to build an object recognition system using a video.By the end of this book, you'll have the skills you need to build a functional application that can integrate with a ROS to extract useful information about your environment.What you will learnExplore the ROS and build a basic robotic systemUnderstand the architecture of neural networksIdentify conversation intents with NLP techniquesLearn and use the embedding with Word2Vec and GloVeBuild a basic CNN and improve it using generative modelsUse deep learning to implement artificial intelligence(AI)and object recognitionDevelop a simple object recognition system using CNNsIntegrate AI with ROS to enable your robot to recognize objectsWho this book is forArtificial Vision and Language Processing for Robotics is for robotics engineers who want to learn how to integrate computer vision and deep learning techniques to create complete robotic systems. It will prove beneficial to you if you have working knowledge of Python and a background in deep learning. Knowledge of the ROS is a plus.
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In den WarenkorbZustand: New.
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In den WarenkorbZustand: New.
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In den WarenkorbZustand: New. 2019. Paperback. . . . . . Books ship from the US and Ireland.
Verlag: Packt Publishing Limited, GB, 2019
ISBN 10: 183855226X ISBN 13: 9781838552268
Sprache: Englisch
Anbieter: Rarewaves.com USA, London, LONDO, Vereinigtes Königreich
EUR 56,18
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In den WarenkorbPaperback. Zustand: New. Create end-to-end systems that can power robots with artificial vision and deep learning techniquesKey FeaturesStudy ROS, the main development framework for robotics, in detailLearn all about convolutional neural networks, recurrent neural networks, and roboticsCreate a chatbot to interact with the robotBook DescriptionArtificial Vision and Language Processing for Robotics begins by discussing the theory behind robots. You'll compare different methods used to work with robots and explore computer vision, its algorithms, and limits. You'll then learn how to control the robot with natural language processing commands. You'll study Word2Vec and GloVe embedding techniques, non-numeric data, recurrent neural network (RNNs), and their advanced models. You'll create a simple Word2Vec model with Keras, as well as build a convolutional neural network (CNN) and improve it with data augmentation and transfer learning. You'll study the ROS and build a conversational agent to manage your robot. You'll also integrate your agent with the ROS and convert an image to text and text to speech. You'll learn to build an object recognition system using a video.By the end of this book, you'll have the skills you need to build a functional application that can integrate with a ROS to extract useful information about your environment.What you will learnExplore the ROS and build a basic robotic systemUnderstand the architecture of neural networksIdentify conversation intents with NLP techniquesLearn and use the embedding with Word2Vec and GloVeBuild a basic CNN and improve it using generative modelsUse deep learning to implement artificial intelligence(AI)and object recognitionDevelop a simple object recognition system using CNNsIntegrate AI with ROS to enable your robot to recognize objectsWho this book is forArtificial Vision and Language Processing for Robotics is for robotics engineers who want to learn how to integrate computer vision and deep learning techniques to create complete robotic systems. It will prove beneficial to you if you have working knowledge of Python and a background in deep learning. Knowledge of the ROS is a plus.
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
EUR 41,24
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In den WarenkorbZustand: As New. Unread book in perfect condition.
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In den WarenkorbTaschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering.
Anbieter: THE SAINT BOOKSTORE, Southport, Vereinigtes Königreich
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In den WarenkorbPaperback / softback. Zustand: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 767.
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In den WarenkorbPaperback. Zustand: Brand New. 356 pages. 9.25x7.50x0.81 inches. In Stock. This item is printed on demand.
Verlag: Packt Publishing, Limited, 2019
ISBN 10: 183855226X ISBN 13: 9781838552268
Sprache: Englisch
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 49,12
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In den WarenkorbZustand: New. Print on Demand pp. 356.