Synapse.NN.Models

Provides interface for creating and using neural network models.

Common for models

newtype InputSize

InputSize newtype wraps Int - amount of features of input that the model should support (InputSize 3 means that model supports any matrix with size (x, 3)).

Constructors

InputSize Int

SequentialModel datatype

newtype SequentialModel a

SequentialModel datatype represents any model grouping layers linearly.

Constructors

SequentialModel

Fields

• unSequentialModel :: [Layer a]

  Returns layers of SequentialModel.

Instances

AbstractLayer SequentialModel

Defined in Synapse.NN.Models

Methods

inputSize :: SequentialModel a -> Maybe Int

outputSize :: SequentialModel a -> Maybe Int

nParameters :: SequentialModel a -> Int

getParameters :: SymbolIdentifier -> SequentialModel a -> [SymbolMat a]

updateParameters :: SequentialModel a -> [Mat a] -> SequentialModel a

symbolicForward :: (Symbolic a, Floating a, Ord a) => SymbolIdentifier -> SymbolMat a -> SequentialModel a -> (SymbolMat a, SymbolMat a)

Show a => Show (SequentialModel a)

Defined in Synapse.NN.Models

Methods

showsPrec :: Int -> SequentialModel a -> ShowS

show :: SequentialModel a -> String

showList :: [SequentialModel a] -> ShowS

type DType (SequentialModel a)

Defined in Synapse.NN.Models

type DType (SequentialModel a) = a

buildSequentialModel :: InputSize -> [LayerConfiguration (Layer a)] -> SequentialModel a

Builds sequential model using input size and layer configurations to ensure that layers are compatible with each other.

layerPrefix :: SymbolIdentifier -> Int -> SymbolIdentifier

Forms prefix for layers according to AbstractLayer requirements.