Zoekresultaten - "Generative Adversarial Network (GAN)"

Convex Optimization for Machine Learning door Suh, Changho

Onderwerpen: “…Convex Optimization, Deep Learning, Generative Adversarial Networks (GANs), TensorFlow, Supervised Learning, Wasserstein GAN, Strong Duality, Weak Duality, Computed Tomography…”
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Convex Optimization for Machine Learning door Suh, Changho

Onderwerpen: “…Convex Optimization, Deep Learning, Generative Adversarial Networks (GANs), TensorFlow, Supervised Learning, Wasserstein GAN, Strong Duality, Weak Duality, Computed Tomography…”
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Information Theory for Data Science door Suh, Changho

Onderwerpen: “…Information Theory, Data Science, Source Coding, Channel Coding, DNA sequencing, DNA sequencing, Top-K ranking, Supervised learning, Unsupervised Learning, Generative Adversarial Networks (GANs), TensorFlow…”
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Information Theory for Data Science door Suh, Changho

Onderwerpen: “…Information Theory, Data Science, Source Coding, Channel Coding, DNA sequencing, DNA sequencing, Top-K ranking, Supervised learning, Unsupervised Learning, Generative Adversarial Networks (GANs), TensorFlow…”
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Sustainable Crop Plants Protection: Implications for Pest and Disease Control

Onderwerpen: “…generative adversarial network (GAN)…”
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Recent Advances in Machine Learning and Computational Intelligence

Onderwerpen: “…Generative Adversarial Network (GAN)…”
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Machine Learning in Tribology

Onderwerpen: “…Generative Adversarial Network (GAN)…”
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UAV Photogrammetry and Remote Sensing

Onderwerpen: “…generative adversarial network (GAN)…”
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Advanced Climate Simulation and Observation

Onderwerpen: “…generative adversarial network (GAN)…”
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Image and Video Processing and Recognition Based on Artificial Intelligence

Onderwerpen: “…generative adversarial network (GAN)…”
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Manufacturing Metrology

Onderwerpen: “…generative adversarial network (GAN)…”
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Deep Learning and Computer Vision in Remote Sensing

Onderwerpen: “…generative adversarial networks (GANs)…”
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Deep Learning and Computer Vision in Remote Sensing

Onderwerpen: “…generative adversarial networks (GANs)…”
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DOAB: description of the publication