12 rezultatov
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Programming Computer Vision with Python(2012) SOLEM, JAN ERIKIf you want a basic understanding of computer vision's underlying theory and algorithms, this hands-on introduction is the ideal place to start. Programming Computer Vision with Python teaches computer vision in broad terms that won't bog you down in theoVezava: Mehka61,94 € -
Linear Algebra And Optimization With Applications To Machine Learning - Volume I: Linear Algebra For Computer Vision, Robotics, And Machine Learning(2020) GALLIER, JEAN H (UNIV OF PENNSYLVANIA, USA),QUAINTANCE, JOCELYN (UNIV OF PENNSYLVANIA, USA)Vezava: Mehka136,80 € -
Deep Learning on Graphs(2021) MA, YAO (MICHIGAN STATE UNIVERSITY),TANG, JILIANG (MICHIGAN STATE UNIVERSITY)This comprehensive text on the theory and techniques of graph neural networks takes students, practitioners, and researchers from the basics to the state of the art. It systematically introduces foundational topics such as filtering pooling, robustness, aVezava: Trda85,75 € -
Deep Network Design for Medical Image Computing(2022) LIAO, HAOFU (APPLIED SCIENTIST, REKOGNITION AND VIDEO ANALYSIS TEAM, AMAZON WEB SERVICES, INC, CA, USA),ZHOU, S. KEVIN (PRINCIPAL KEY EXPERT, MEDICAL IMAGE ANALYSIS, SIEMENS HEALTHCARE TECHNOLOGY CENTER, PRINCETON, NEW JERSEY, USA),LUO, JIEBO (PROFESSOR OF COMPUTER SCIENCE, UNIVERSITY OF ROCHESTER, NY, USA)Vezava: Mehka129,13 € -
Biometrics(2018) FAIRHURST, MICHAEL (PROFESSOR OF COMPUTER VISION, UNIVERSITY OF KENT)With the rise of digital technologies the need for effective means of identification has grown enormously. Biometrics is the rapidly growing science of identifying individuals through biological characteristics, from iris patterning to voice recognition.Vezava: Mehka14,01 € -
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Generative Deep Learning(2023) FOSTER, DAVIDGenerative AI is the hottest topic in tech. This practical book teaches machine learning engineers and data scientists how to use TensorFlow and Keras to create impressive generative deep learning models from scratchVezava: Mehka82,59 € -
Pattern Recognition and Machine Learning(2006) BISHOP, CHRISTOPHER M.Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science. In particular, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general frameworkVezava: Trda118,11 €
