In the tensorflow API docs they use a keyword called logits. What is it? A lot of methods are written like: tf.nn.softmax(logits, name=None) If logits is just a generic Tensor input, why is it named logits? Secondly, what is the difference between the following two methods? tf.nn.softmax(logits, name=None) tf.nn.softmax_cross_entropy_with_logits(logits, labels, name=None) I know what tf.nn.softmax does, but not the other. An example would be really helpful. Continue reading...
