Data Science, Loss Function, Machine Learning, Neural Networks, TensorFlow.
within_threshold = tf.abs(error) <= t small_error = tf.square(error) large_error = t * (tf.abs(error) - (0.5*t)) if within_threshold: return small_error else: return large_error return huber_loss Binary Cross-Entropy/Log Loss This is the loss function used in binary classification models — where