@@ -421,6 +421,7 @@ All predefined methods start with a capital letter and all constructed methods h

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@@ -421,6 +421,7 @@ All predefined methods start with a capital letter and all constructed methods h

***ArgMax()**

***ArgMax()**

Computes the index of the maximal value of its input vector. Useful for recurrent networks, when the output of a timestep should be used as integer input for the next timestep.

Computes the index of the maximal value of its input vector. Useful for recurrent networks, when the output of a timestep should be used as integer input for the next timestep.

Notice that the Argmax Layer is applied after calculating the loss in the respective backend. This means that loss can still be computed correctly (e.g. from a Softmax layer before the ArgMax), but recurrent networks get only the element with the highest probability as input for their next timestep.