A structure that holds the output of a
_cls, loss, predictions, num_examples
Used in the notebooks
loss: The scalar mean loss on the examples in the batch. If the model
has multiple losses, it is the sum of all the individual losses.
predictions: Tensor of predictions on the examples. The first dimension
must be the same size (the size of the batch).
num_examples: Number of examples seen in the batch.