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Artificial Vision and Language Processing for Robotics. Create end-to-end systems that can power robots with artificial vision and deep learning techniques Álvaro Morena Alberola, Gonzalo Molina Gallego, Unai Garay Maestre

Język publikacji: angielskim
Artificial Vision and Language Processing for Robotics. Create end-to-end systems that can power robots with artificial vision and deep learning techniques Álvaro Morena Alberola, Gonzalo Molina Gallego, Unai Garay Maestre - okladka książki

Artificial Vision and Language Processing for Robotics. Create end-to-end systems that can power robots with artificial vision and deep learning techniques Álvaro Morena Alberola, Gonzalo Molina Gallego, Unai Garay Maestre - okladka książki

Autorzy:
Álvaro Morena Alberola, Gonzalo Molina Gallego, Unai Garay Maestre
Wydawnictwo:
Packt Publishing (Z chęcią przeczytam książkę w języku polskim)
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
356
Dostępne formaty:
     PDF
     ePub
     Mobi

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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.

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O autorach książki

Gonzalo Molina Gallego is a computer science graduate and specializes in artificial intelligence and natural language processing. He has experience of working on text-based dialog systems, creating conversational agents, and advising good methodologies. Currently, he is researching new techniques on hybrid-domain conversational systems. Gonzalo thinks that conversational user interfaces are the future.
Unai Garay Maestre is a computer science graduate and specializes in the field of artificial intelligence and computer vision. He successfully contributed to the CIARP conference of 2018 with a paper that takes a new approach to data augmentation using variational autoencoders. He also works as a machine learning developer using deep neural networks applied to images.

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