Lecture 5: ValueError: Only call `sparse_softmax_cross_entropy_with_logits` with named arguments (labels=..., logits=..., ...)

[bordakov]

In lecture 5
loss = tf.nn.sparse_softmax_cross_entropy_with_logits(logits, Y_true_flat)
raises ValueError while
loss = tf.nn.sparse_softmax_cross_entropy_with_logits(logits = logits, labels = Y_true_flat)
seems to work
see https://www.kadenze.com/forums/creative-applications-of-deep-learning-with-tensorflow-sessions-session-5-generative-models/threads/valueerror-only-call-sparse_softmax_cross_entropy_with_logits-with-named-arguments-labels-logits