penzai.nn#
Submodules
Base attention dataflow combinators. |
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Basic primitives for neural networks. |
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Dataflow combinators for neural networks. |
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Dropout regularization using RandomEffect. |
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Structs for handling tokens. |
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Grouping layers, for chaining sequential computations. |
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Penzai's base layer and slot classes and associated utilities. |
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Layer stacks. |
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Generalized linear operator layer and associated utilities. |
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Parameters and state variables in Penzai neural networks. |
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Layer normalization (stateless) using named axes. |