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| Interface Summary | |
|---|---|
| ActivationFunction | This interface allows various activation functions to be used with the neural network. |
| Class Summary | |
|---|---|
| ActivationBiPolar | BiPolar activation function. |
| ActivationGaussian | An activation function based on the gaussian function. |
| ActivationLinear | The Linear layer is really not an activation function at all. |
| ActivationLOG | An activation function based on the logrithm function. |
| ActivationSigmoid | The sigmoid activation function takes on a sigmoidal shape. |
| ActivationSIN | An activation function based on the sin function. |
| ActivationSoftMax | The softmax activation function. |
| ActivationTANH | The hyperbolic tangent activation function takes the curved shape of the hyperbolic tangent. |
| ActivationUtil | Utility classes for activation functions. |
| BasicActivationFunction | Holds basic functionality that all activation functions will likely have use of. |
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