Module revonet::neuro
[−]
[src]
Structs
| LinearActivation | |
| MultilayeredNetwork |
Representation of multilayered neural network with linear activation on output and arbitrary activations for hidden layers. |
| NeuralLayer |
Structure to describe a layer for neural network. |
| ReluActivation | |
| SigmoidActivation |
Enums
| ActivationFunctionType |
Enumeration for the different types of activations. |
| NeuralArchitecture |
Enumeration for the different types of neural architectures. |
Traits
| ActivationFunction |
Trait to generalize behaviour of activation function. |
| NeuralNetwork |
Trait to generalize neural network behaviour. |
Functions
| compute_activations_inplace |
Computes activation function outputs by using array of arguments. The result is written into the input array. |