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a guest Jun 25th, 2019 57 Never
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  1. loss = tf.losses.mean_squared_error(
  2.     predictions=heatmaps, labels=labels_tensor
  3. )
  4.      
  5. loss = tf.reduce_mean(tf.nn.sigmoid_cross_entropy_with_logits(logits=heatmaps, labels=labels_tensor), name= 'cross_entropy_loss')
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