Machine Learning, Data Science, Deep Learning, TensorFlow, Towards Data Science.
can be a useful tool for shallow learning problems, because you can define custom loss functions that may substantially improve the performance of your model. This won’t work for all problems, but may be useful if you have a prediction problem that doesn’t map well to the standard loss functions.