logits = tf.transpose(logits) labels = tf.transpose(labels) cost = tf.reduce_mean(tf.keras.losses.categorical_crossentropy(y_true = labels,y_pred = logits)) [image] Error Message: Shapes (2, 4) and (2, 6) are incompatible [Removed solution code]

I am facing an error in compute_cost

paulinpaloalto July 25, 2021, 8:27pm 5

This has been solved on a different thread.

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