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on 28-Apr-2025 (Mon)

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Annotation 7698627300620

#deep-learning #keras #lstm #python #sequence

The choice of activation function is most important for the output layer as it will define the format that predictions will take...

Multiclass Classification (> 2 class) : Softmax activation function, or softmax , and one output neuron per class value, assuming a one hot encoded output pattern.
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tputs. This is the default activation function used for neurons in the Dense layer. Binary Classification (2 class) : Logistic activation function, or sigmoid , and one neuron the output layer. <span>Multiclass Classification (> 2 class) : Softmax activation function, or softmax , and one output neuron per class value, assuming a one hot encoded output pattern. <span>

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