Data Science, Loss Function, Machine Learning, Neural Networks, TensorFlow.
cases where these traditional/main loss functions may not be sufficient. Some examples would be if there is too much noise in your training data (outliers, erroneous attribute values, etc.) — which cannot be compensated for with data preprocessing — or use in unsupervised learning (as we will