Any Deep ReLU Network Is Shallow

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  • neural-tangents

    Fast and Easy Infinite Neural Networks in Python

  • is used to capture the power of a fully-trained deep net of infinite width.

    https://openreview.net/pdf?id=rkl4aESeUH, https://github.com/google/neural-tangents

    > It has long been known that a single-layer fully-connected neural network with an i.i.d. prior over its parameters is equivalent to a Gaussian process (GP), in the limit of infinite network width.

    https://arxiv.org/abs/1711.00165

    And of course, one needs to look back at SVMs applying a kernel function and separating with a line, which looks a lot like an ANN with a single hidden layer followed by a linear mapping.

    https://stats.stackexchange.com/questions/238635/kernel-meth...

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    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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