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Jupyter Notebook neural-tangent Projects
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eigenlearning
codebase for "A Theory of the Inductive Bias and Generalization of Kernel Regression and Wide Neural Networks"
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InfluxDB
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.
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...
Jupyter Notebook neural-tangents related posts
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Any Deep ReLU Network Is Shallow
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[R] Neural Tangent Kernel Eigenvalues Accurately Predict Generalization
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[R] Neural Tangent Kernel Eigenvalues Accurately Predict Generalization
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[D] Relationship Between Kernels, Neural Networks and Gaussian Process
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[D] neural tangent kernel
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Index
Project | Stars | |
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1 | neural-tangents | 2,225 |
2 | eigenlearning | 49 |
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