Deep learning : a practical introduction / Manel Martâinez-Ramâon, Meenu Ajith, Aswathy Rajendra Kurup.
By: Martâinez-Ramâon, Manel [author.]
Contributor(s): Ajith, Meenu [author.] | Kurup, Aswathy Rajendra [author.]
Language: English Publisher: Hoboken, NJ : Wiley, 2024Description: 1 online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9781119861881; 9781119861874Subject(s): Deep learning (Machine learning)Genre/Form: Electronic books.DDC classification: 006.31 LOC classification: Q325.73Online resources: Full text is available at Wiley Online Library Click here to view Summary: "Deep learning is a subset of machine learning in artificial intelligence that has networks capable of learning unsupervised from data that is unstructured or unlabeled. Also known as deep neural learning or deep neural network."-- Provided by publisher.| Item type | Current location | Home library | Call number | Status | Date due | Barcode | Item holds |
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COLLEGE LIBRARY | COLLEGE LIBRARY | 006.31 M3666 2024 (Browse shelf) | Available (In Process) |
Includes bibliographical references and index.
"Deep learning is a subset of machine learning in artificial intelligence that has networks capable of learning unsupervised from data that is unstructured or unlabeled. Also known as deep neural learning or deep neural network."-- Provided by publisher.
About the Author
Manel Martínez-Ramón, PhD, is King Felipe VI Endowed Chair and Professor in the Department of Electrical and Computer Engineering at the University of New Mexico in the United States. He earned his doctorate in Telecommunication Technologies at the Universidad Carlos III de Madrid in 1999.
Meenu Ajith, PhD, is a Postdoctoral Research Associate in Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) at Georgia State University, Georgia Institute of Technology, and Emory University. She earned her doctorate degree in Electrical Engineering from the University of New Mexico in 2022. Her research interests include machine learning, computer vision, medical imaging, and image processing.
Aswathy Rajendra Kurup, PhD, is a Data Scientist at Intel Corporation. She earned her doctorate degree in Electrical Engineering from the University of Mexico in 2022. Her research interests include image processing, signal processing, deep learning, computer vision, data analysis and data processing.
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