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Deep Learning - by Rob Botwright (Paperback)

Leer Escribir Poseer - by Chris Dixon (Paperback)

Quantitative Magnetic Resonance Imaging - (Advances in Magnetic Resonance Technology and Applications) (Paperback)

Multidisciplinary Approaches to Visual Representations and Interpretations - (Studies in Multidisciplinarity) (Hardcover)

Neural Network Programming - by Rob Botwright (Paperback)

Computer Vision: Advanced Techniques and Applications - by Steve Holden (Hardcover)

Machine Learning for Biomedical Applications - by Maria Deprez & Emma C Robinson (Paperback)

Learning-Based Local Visual Representation and Indexing - (Computer Science Reviews and Trends) (Paperback)

Nexus - by Yuval Noah Harari (Hardcover)

Sensor Networks for Smart Hospitals - by Tuan Anh Nguyen (Paperback)

Figure It Out - by Stephen P Anderson & Karl Fast (Paperback)

Law of Attraction - by Linda Penner (Paperback)

Iris and Periocular Recognition Using Deep Learning - by Ajay Kumar (Paperback)

Numerical Geometry of Non-Rigid Shapes - (Monographs in Computer Science) by Alexander M Bronstein & Michael M Bronstein & Ron Kimmel (Hardcover)

Demystifying Prompt Engineering - by Harish Bhat (Hardcover)

Face Detection and Recognition on Mobile Devices - by Haowei Liu (Paperback)

Riemannian Geometric Statistics in Medical Image Analysis - by Xavier Pennec & Stefan Sommer & Tom Fletcher (Paperback)

Regenerating Learning - (Design Thinking) by Patrick Parra Pennefather (Paperback)

Generative Deep Learning - 2nd Edition by David Foster (Paperback)

Learning Opencv - by Gary Bradski & Adrian Kaehler (Paperback)

Why Machines Learn - by Anil Ananthaswamy

Transformers for Natural Language Processing and Computer Vision - Third Edition - 3rd Edition by Denis Rothman (Paperback)

Openvx Programming Guide - by Frank Brill & Victor Erukhimov & Radhakrishna Giduthuri & Steve Ramm (Paperback)

Programming Computer Vision with Python - by Jan Erik Solem (Paperback)