Information Theoretic Methods Deep Learning (17 results)
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Information-Theoretic Methods in Deep Learning
Shuangming Yang, Shujian Shujian Yu, Luis Gonzalo Sandaacute;nchez Giraldo
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Shuangming Yang, Shujian Shujian Yu, Luis Gonzalo Sandaacute;nchez Giraldo
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More imagesInformation-Theoretic Methods in Deep Learning
Shuangming Yang, Shujian Shujian Yu, Luis Gonzalo Sandaacute;nchez Giraldo
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Information-Theoretic Methods in Deep Learning
Shuangming Yang, Shujian Shujian Yu, Luis Gonzalo Sandaacute;nchez Giraldo
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The rapid development of deep learning has led to groundbreaking advancements across various fields, from computer vision to natural language processing and beyond. Information theory, as a mathematical foundation for understanding data represe…ntation, learning, and communication, has emerged as a powerful tool in advancing deep learning methods. This Special Issue, 'Information-Theoretic Methods in Deep Learning: Theory and Applications', presents cutting-edge research that bridges the gap between information theory and deep learning. It covers theoretical developments, innovative methodologies, and practical applications, offering new insights into the optimization, generalization, and interpretability of deep learning models. The collection includes contributions on: Theoretical frameworks combining information theory with deep learning architectures; Entropy-based and information bottleneck methods for model compression and generalization; Mutual information estimation for feature selection and representation learning; Applications of information-theoretic principles in natural language processing, computer vision, and neural network optimization.
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Buch. Condition: Neu. Information-Theoretic Methods in Deep Learning | Theory and Applications | Buch | Englisch | 2025 | MDPI AG | EAN 9783725829828 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
