| Class | Description |
|---|---|
| Activation |
The
Activation class is the most central class in Aika. |
| Activation.Builder | |
| 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.ThreadState |
The
ThreadState is a thread local data structure containing the activations of a single document for
a specific logic node. |
| Neuron |
The
Neuron class is a proxy implementation for the real neuron implementation in the class INeuron. |
| Synapse |
The
Synapse class connects two neurons with each other. |
| Synapse.Builder |
The
Builder class is just a helper class which is used to initialize a neuron. |
| Synapse.Key |
| Enum | Description |
|---|---|
| Activation.Mode | |
| INeuron.Type |
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