Data Science, Loss Function, Machine Learning, Neural Networks, TensorFlow.
that category (p(i) = probability that the category is 1; 1 — p(i) = probability that the category is 0) This is the TensorFlow implementation. def log_loss (y_true, y_pred): y_pred = tf.clip_by_value(y_pred, le-7, 1 - le-7) error = y_true * tf.log(y_pred + 1e-7) (1-y_true) * tf.log(1-y_pred +