Python for Deep Learning - Build Neural Networks in Python - Adding the Output Layer

The video tutorial explains the use of a single neuron in the output layer for binary classification tasks, such as predicting whether a customer will leave or stay. It details the configuration of the output layer using a dense unit with a sigmoid activation function, which provides the probability of an outcome. The tutorial concludes with a transition to the next lecture.

What does the output of the model represent when using the sigmoid activation function?

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How does the model determine if a customer will stay or leave the bank?

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