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.
Features
- CUDA support
- AMDGPU support
- Automatic differentiation
- Defines gradients using ChainRules.jl
- GPU support is provided as package extensions
- Neural Network primitives with multiple backends
Project Samples
Categories
Data VisualizationLicense
MIT LicenseFollow NNlib.jl
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