How to set class weights for imbalanced classes in Tensorflow? Do we have an equivalence for the following question, but with tensorflow : How to set class weights for imbalanced classes in Keras? ??
There's a function that does it automatically: tf.contrib.losses.softmax_cross_entropy(logits, onehot_labels, weight=weight)