LEADER 00000cam a2200697 i 4500 
001    on1101047599 
003    OCoLC 
005    20211008041809.0 
006    m     o  d         
007    cr cnu---unuuu 
008    190518t20192019enka    ob    001 0 eng d 
015    GBB9E4429|2bnb 
016 7  019397911|2Uk 
019    1100046565|a1226354940 
020    9781838557669|q(electronic book) 
020    1838557660|q(electronic book) 
020    |z9781838552268|q(paperback) 
020    |z183855226X|q(paperback) 
035    (OCoLC)1101047599|z(OCoLC)1100046565|z(OCoLC)1226354940 
037    9781838557669|bPackt Publishing 
040    EBLCP|beng|epn|erda|cEBLCP|dUKAHL|dN$T|dOCLCQ|dYDX|dOCLCF
       |dUKMGB|dOCLCQ|dSFB|dWAU|dOCLCO|dUMI 
049    RIDW 
050  4 TJ211 
082 04 629.892|223 
090    TJ211 
100 1  Morena Alberola, Álvaro,|eauthor. 
245 10 Artificial vision and language processing for robotics :
       |bcreate end-to-end systems that can power robots with 
       artificial vision and deep learning techniques /|cÁlvaro 
       Morena Alberola, Gonzalo Molina Gallego, Unai Garay 
       Maestre. 
246 30 Create end-to-end systems that can power robots with 
       artificial vision and deep learning techniques 
264  1 Birmingham, UK :|bPackt Publishing,|c2019. 
264  4 |c©2019 
300    1 online resource :|billustrations 
336    text|btxt|2rdacontent 
336    still image|bsti|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
340    |gpolychrome|2rdacc 
347    text file|2rdaft 
504    Includes bibliographical references and index. 
505 0  Fundamentals of robotics -- Introduction to computer 
       vision -- Fundamentals of natural language processing -- 
       Neural networks with NLP -- Convolutional neural networks 
       for computer vision -- Robot Operating System (ROS) -- 
       Build a text-based dialogue system (Chatbot) -- Object 
       recognition to guide a robot using CNNs -- Computer vision
       for robotics. 
520    Artificial 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. 
       Explore the ROS and build a basic robotic system ; 
       Understand the architecture of neural networks ; Identify 
       conversation intents with NLP techniques ; Learn and use 
       the embedding with Word2Vec and GloVe ; Build a basic CNN 
       and improve it using generative models ; Use deep learning
       to implement artificial intelligence (AI) and object 
       recognition ; Develop a simple object recognition system 
       using CNNs ; Integrate AI with ROS to enable your robot to
       recognize objects. Artificial 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. 
588 0  Print version record. 
590    eBooks on EBSCOhost|bEBSCO eBook Subscription Academic 
       Collection - North America 
650  0 Artificial vision.|0https://id.loc.gov/authorities/
       subjects/sh85008251 
650  0 Robotics.|0https://id.loc.gov/authorities/subjects/
       sh85114628 
650  0 Natural language processing (Computer science)|0https://
       id.loc.gov/authorities/subjects/sh88002425 
650  0 Neural networks (Computer science)|0https://id.loc.gov/
       authorities/subjects/sh90001937 
650  7 Artificial vision.|2fast|0https://id.worldcat.org/fast/
       817489 
650  7 Robotics.|2fast|0https://id.worldcat.org/fast/1098997 
650  7 Natural language processing (Computer science)|2fast
       |0https://id.worldcat.org/fast/1034365 
650  7 Neural networks (Computer science)|2fast|0https://
       id.worldcat.org/fast/1036260 
655  4 Electronic books. 
700 1  Molina Gallego, Gonzalo,|eauthor. 
700 1  Garay Maestre, Unai,|eauthor. 
776 08 |iPrint version:|aAlberola, Álvaro Morena.|tArtificial 
       vision and language processing for robotics.|dBirmingham :
       Packt Publishing, 2019|z9781838552268|w(OCoLC)1081397123 
856 40 |uhttps://rider.idm.oclc.org/login?url=https://
       search.ebscohost.com/login.aspx?direct=true&scope=site&
       db=nlebk&AN=2116427|zOnline ebook via EBSCO. Access 
       restricted to current Rider University students, faculty, 
       and staff. 
856 42 |3Instructions for reading/downloading the EBSCO version 
       of this ebook|uhttp://guides.rider.edu/ebooks/ebsco 
901    MARCIVE 20231220 
948    |d20211213|cEBSCO|tEBSCOebooksacademic NEW Oct-Nov 5018
       |lridw 
994    92|bRID