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2.7 Which of the following statements is/are true?

At the output layer of a binary classification problem, we could either use sigmoid

activation function with single output neuron or softmax function with two neurons, to

produce similar results.

For a classification application, that predicts whether a task is personal or official and

which also predicts whether it is high or low priority, we could use two output neuron

and apply sigmoid activation function on each output neuron.

For a classification application, that predicts whether Team A would win, lose or draw

the match, we could use three output neurons with softmax activation function applied

at the output layer.

Fig: 1