The ______________ function is often used as an activation function in the output layer of a binary classification problem.

Which activation function is most likely to be used in the output layer for a multi-class classification problem?

Which of the following activation functions is primarily used for neural networks designed to classify binary data?a)Hyperbolic tangent (tanh) functionb)Sigmoid functionc)Rectified Linear Unit (ReLU)d)Softmax function

Which activation function is often used in the output layer for multi-class classification problems?Review LaterSigmoidReLUSoftmaxTanh

Which activation function is most likely to be used in the output layer for a multi-class classification problem?Group of answer choicesSigmoidReLUSoftmaxTanh

What is the purpose of the activation function in a neural network?Review LaterIt determines the learning rate of the network.It controls the complexity of the model.It defines the loss function to be optimized.It introduces nonlinearity into the network.