Artificial Neural Network implemented in Haskell
License: BSD 3-Clause "New" or "Revised" License
This is an educational project to get familiar with artificial neural networks and functional programming. Haskell Tool Stack is required to build and run the executables.
There are different executables that can be run with:
stack run <exe-name> (e.g. stack run funcnet-exe)
Add MNIST as example.
Reading data should not be in library.
To be able to use the jacobian every activation function derivative other than softmax has to return a diagonal matrix and the backrpopagation algorithm has to use matrix multiplication instead of hadamard product.
The input layer does not need to be defined on composition time
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