TensorOps.Learn.NeuralNet

Synopsis

• newtype Activation k = Act {
  • getAct :: forall a. SingI a => TOp '['[a]] '['[a]]
  }
• actMap :: (forall a. RealFloat a => a -> a) -> Activation k
• actMap' :: (forall a. RealFloat a => a -> a) -> (forall a. RealFloat a => a -> a) -> Activation k
• actSoftmax :: Activation k
• actLogistic :: Activation k
• logistic :: Floating a => a -> a
• logistic' :: Floating a => a -> a
• softmax :: SingI i => TOp '['[i]] '['[i]]
• squaredError :: forall o. SingI o => TOp '['[o], '[o]] '['[]]
• crossEntropy :: forall o. SingI o => TOp '['[o], '[o]] '['[]]

Documentation