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imagenet classification with deep convolutional neural networks  (Curran Associates Inc)

 
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    Curran Associates Inc imagenet classification with deep convolutional neural networks
    Imagenet Classification With Deep Convolutional Neural Networks, supplied by Curran Associates Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/deep+convolution/imagenet+classification+with+deep+convolutional+neural+networks/pm40601729-415-4-30
    Average 90 stars, based on 1 article reviews
    imagenet classification with deep convolutional neural networks - by Bioz Stars, 2026-10
    90/100 stars

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    Related Articles

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    Article Title: Asymptotic generalization errors in the online learning of random feature models
    Article Snippet: [3] A. Krizhevsky, I. Sutskever, and G. E. Hinton, Imagenet classification with deep convolutional neural networks, in Advances in Neural Information Processing Systems, edited by F. Pereira, C. Burges, L. Bottou, and K. Weinberger (Curran Associates, Inc., Glasgow, Scotland, 2012), Vol.

    Article Title: Universal dimensions of visual representation.
    Article Snippet: A. Krizhevsky, i. Sutskever, G. e. hinton, “imagenet classification with deep convolutional neural networks,” in Advances in Neural Information Processing Systems, F. Pereira, C. Burges, l. Bottou, K. Weinberger, eds. (Curran Associates inc., 2012), vol.

    Article Title: Brain-inspired neural circuit evolution for spiking neural networks.
    Article Snippet: A. Krizhevsky, I. Sutskever, G. E. Hinton, “ImageNet classification with deep convolutional neural networks” in Advances in Neural Information Processing Systems, F. Pereira, C. J. Burges, L. Bottou, K. Q. Weinberger, Eds. (Curran Associates Inc, 2012), pp.

    Article Title: Prediction of carbon nanostructure mechanical properties and the role of defects using machine learning.
    Article Snippet: A. Krizhevsky, I. Sutskever, G. Hinton, “ImageNet classification with deep convolutional neural networks” in Advances in Neural Information Processing Systems (Curran Associates Inc., Dutchess County, NY, 2012). vol.

    Article Title: A synergistic future for AI and ecology.
    Article Snippet: A. Krizhevsky, I. Sutskever, G. E. Hinton, "ImageNet classification with deep convolutional neural networks" in Advances in Neural Information Processing Systems, F. Pereira, C. J. Burges, L. Bottou, K. Q. Weinberger, Eds. (Curran Associates Inc., 2012).

    Article Title: Mapping Out Phase Diagrams with Generative Classifiers
    Article Snippet: [12] A. Krizhevsky, I. Sutskever, and G. E. Hinton, ImageNet classification with deep convolutional neural networks, in Advances in Neural Information Processing Systems, edited by F. Pereira, C. J. C. Burges, L. Bottou, and K. Q. Weinberger (Curran Associates, Inc., Red Hook, 2012), Vol.

    Article Title: Reaching the ceiling? Empirical scaling behaviour for deep EEG pathology classification.
    Article Snippet: Hinton, ImageNet classification with deep convolutional neural networks, in: F. Pereira, C. Burges, L. Bottou, K. Weinberger (Eds.), Advances in Neural Information Processing Systems, Vol 25, Curran Associates, Inc., 2012, pp.

    Article Title: D-TrAttUnet: Toward hybrid CNN-transformer architecture for generic and subtle segmentation in medical images.
    Article Snippet: Hinton, ImageNet classification with deep convolutional neural networks, in: Advances in Neural Information Processing Systems, Curran Associates, Inc., 2012, URL: https://proceedings.neurips.cc/ paper/2012/hash/c399862d3b9d6b76c8436e924a68c45b-Abstract.html.



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