Neural Network primitives with multiple backends
165 Stars
Updated Last
1 Year Ago
Started In
August 2017


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This package provides a library of functions useful for neural networks, such as softmax, sigmoid, batched multiplication, convolutions and pooling. Many of these are used by Flux.jl, which loads this package, but they may be used independently.

For use with automatic differentiation, this package defines gradients using ChainRules.jl. These will be seen by various packages including Zygote.jl.

To use these functions with CUDA.jl you will need NNlibCUDA.jl as well.