In the following TensorFlow function, we must feed the activation of artificial neurons in the final layer. That I understand. But I don’t understand why it is called logits? Isn’t that a mathematical function?

loss_function = tf.nn.softmax_cross_entropy_with_logits( logits = last_layer, labels = target_output )

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