| Class | Description |
|---|---|
| Activation |
The
Activation class is the most central class in Aika. |
| Activation.Rounds |
Since Aika is a recurrent neural network, it is necessary to compute several rounds of activation values.
|
| Activation.State |
A
State object contains the activation value of an activation object that belongs to a neuron. |
| Activation.SynapseActivation |
The
SynapseActivation mirror the synapse link in the network of activations. |
| INeuron |
The
INeuron class represents a internal neuron implementation in Aikas neural network and is connected to other neurons through
input synapses and output synapses. |
| INeuron.NormWeight | |
| Synapse |
The
Synapse class connects two neurons with each other. |
| Synapse.Key |
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