What is the meaning of the word logits in TensorFlow?
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
For example, in the last layer of the discriminator of generative adversarial networks (GAN), we will use sigmoid(logits) to get the output of D. This is discussed with Zhengxia.