Index
| ActivationFunction | ML.NN.ActivationFunction, ML.NN |
| ActivationFunctionDerivative | ML.NN.ActivationFunction, ML.NN |
| computeZsAndAs | ML.NN |
| CostDerivative | ML.NN |
| feedForward | ML.NN |
| Gradient | |
| 1 (Type/Class) | ML.NN |
| 2 (Data Constructor) | ML.NN |
| gradientDescentCore | ML.NN |
| gradientNablaB | ML.NN |
| gradientNablaW | ML.NN |
| Layer | |
| 1 (Type/Class) | ML.NN |
| 2 (Data Constructor) | ML.NN |
| layerBiases | ML.NN |
| layerWeights | ML.NN |
| mse' | ML.NN |
| Network | |
| 1 (Type/Class) | ML.NN |
| 2 (Data Constructor) | ML.NN |
| networkLayers | ML.NN |
| parseMnist | ML.MnistLoader |
| randLayer | ML.NN |
| randNetwork | ML.NN |
| runNetwork | ML.NN |
| Sample | |
| 1 (Type/Class) | ML.Sample, ML.NN |
| 2 (Data Constructor) | ML.Sample, ML.NN |
| sampleExpectedOutput | ML.Sample, ML.NN |
| sampleInput | ML.Sample, ML.NN |
| sgd | ML.NN |
| shuffle | Control.Monad.Random.Extended |
| sigmoid | ML.NN.Activation |
| sigmoid' | ML.NN.Activation |
| trainingActivation | ML.NN |
| trainingActivationDerivative | ML.NN |
| TrainingConfig | |
| 1 (Type/Class) | ML.NN |
| 2 (Data Constructor) | ML.NN |
| trainingCostDerivative | ML.NN |
| trainingEta | ML.NN |
| vshuffle | Control.Monad.Random.Extended |