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Showing 1 to 1 of 1 for “"Infinitely wide neural networks"”.

  1. Priors in finite and infinite Bayesian convolutional neural networks

    Bayesian neural networks (BNNs) have undergone many changes since the seminal work of Neal [Nea96]. Advances in approximate inference and the use of GPUs have scaled BNNs to larger data sets, and much higher layer and parameter counts. Yet, the priors used for BNN parameters have remained …

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