Output Layer

The output layer in a neural network is the final layer that produces the result of the model. It's responsible for transforming the activations of the last hidden layer into a format suitable for the model's intended task.

Role of the Output Layer

In classification tasks, the output layer often uses a softmax function to provide a probabilistic representation of class membership. In regression tasks, it might consist of a single neuron with a linear activation function. The design of the output layer depends on the specific requirements of the machine learning task.