inf-backprop

Automatic differentiation and backpropagation.

!Second order derivative of a composition

Automatic differentiation library with efficient reverse-mode backpropagation for Haskell.

This package provides a general-purpose automatic differentiation system designed for building strongly typed deep learning frameworks. It offers:

• Reverse-mode automatic differentiation (backpropagation)

• Support for higher-order derivatives

• Type-safe gradient computation

• Integration with numhask

The library emphasizes composability and type safety, making it suitable for research, prototyping neural networks, and implementing custom differentiable algorithms.

See the tutorial for detailed examples and usage patterns.

Similar Projects:

• ad - Comprehensive automatic differentiation library supporting forward and reverse modes

• backprop - Heterogeneous automatic differentiation with emphasis on ease of use