Deep Learning, Machine Learning, Artificial Intelligence, Loss Function, Neural Networks.
sum_of_squares_true = tf.reduce_sum(tf.square(y_true), axis=(1,2,3)) dice = 1 - (2 * intersection + smooth) / (sum_of_squares_pred + sum_of_squares_true + smooth) return dice In this implementation, y_true and y_pred are TensorFlow tensors representing the ground truth and predicted masks,