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Cross-entropy loss using tf.nn.sparse_softmax_cross_entropy_with_logits. (deprecated)

weights acts as a coefficient for the loss. If a scalar is provided, then the loss is simply scaled by the given value. If weights is a tensor of size [batch_size], then the loss weights apply to each corresponding sample.

logits [batch_size, num_classes] logits outputs of the network .
labels [batch_size, 1] or [batch_size] labels of dtype int32 or int64 in the range [0, num_classes).
weights Coefficients for the loss. The tensor must be a scalar or a tensor of shape [batch_size] or [batch_size, 1].
scope the scope for the operations performed in computing the loss.

A scalar Tensor representing the mean loss value.

ValueError If the shapes of logits, labels, and weights are incompatible, or if weights is None.