- Activation
- Derivative
- Loss
Activation
Compute activation function values and write them to the passed vector/matrix.
bool vector::Activation(
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Parameters
vect_out/matrix_out
[out] Vector or matrix to get the computed values of the activation function.
activation
[in] Activation function type from the ENUM_ACTIVATION_FUNCTION enumeration.
Return Value
Returns true on success, false otherwise.
Note
The neural network activation function determines the output value of a neuron depending on the weighted sum of inputs. The selection of the activation function has a big impact on the neural network performance. Different model parts (layers) can use different activation functions.