Deep learning (Machine learning)
概要
作品: | 49 作品在 47 項出版品 47 種語言 |
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書目資訊
Deep learning in multi-step prediction of chaotic dynamics = from deterministic models to real-world systems /
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Machine learning, deep learning, big data, and internet of things for healthcare /
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Modern deep learning design and application development = versatile tools to solve deep learning problems /
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Semantic knowledge modelling via open linked ontologies = ontologies in e-governance /
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Automated deep learning using neural network intelligence = develop and design pytorch and tensorflow models using python /
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Remote sensing intelligent interpretation for mine geological environment = from land use and land cover perspective /
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Deep learning technologies for the sustainable development goals = issues and solutions in the post-COVID era /
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Novel financial applications of machine learning and deep learning = algorithms, product modeling, and applications /
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Deep cognitive networks = enhance deep learning by modeling human cognitive mechanism /
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Deep learning-based detection of catenary support component defect and fault in high-speed railways
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The principles of deep learning theory = an effective theory approach to understanding neural networks /
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Deep learning and other soft computing techniques = biomedical and related applications /
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Deep learning for fluid simulation and animation = fundamentals, modeling, and case studies /
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Multidisciplinary applications of deep learning-based artificial emotional intelligence
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Adversarial machine learning = attack surfaces, defence mechanisms, learning theories in artificial intelligence /
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