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Haskell Nuggets: k-means
in #haskell, #dependent types, #functional programming, @Haskell

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A Purely Functional Typed Approach to Trainable Models (Part 3)
in #differentiable programming, #deep learning, #backprop, #modeling, @Haskell, +Functional Models

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A Purely Functional Typed Approach to Trainable Models (Part 2)
in #differentiable programming, #deep learning, #backprop, #modeling, @Haskell, +Functional Models

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A Purely Functional Typed Approach to Trainable Models (Part 1)
in #differentiable programming, #deep learning, #backprop, #modeling, @Haskell, +Functional Models

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Introducing the backprop library
in #functional programming, #haskell, #numerical, #artificial neural networks, @Haskell, +Backprop

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Practical Dependent Types in Haskell 2: Existential Neural Networks and Types at
Runtime
in #functional programming, #dependent types, #numerical, #haskell, #singletons, #types, #artificial neural networks, #existential types, @Haskell, @Ramblings, +Practical Dependent Types in Haskell

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Practical Dependent Types in Haskell: Type-Safe Neural Networks (Part 1)
in #functional programming, #dependent types, #numerical, #haskell, #singletons, #types, #linear algebra, #artificial neural networks, @Haskell, @Ramblings, +Practical Dependent Types in Haskell