Deep Learning in the Real World: How to Deal with Non-differentiable Loss Functions

Over the past few years, deep learning has been taking by storm many industries. From voice recognition to image analysis and synthesis, neural networks have turned out to be very efficient at solving a vast number of problems. Concretely, if you can define your problem as the minimization of a differentiable objective function, there is … Continue reading Deep Learning in the Real World: How to Deal with Non-differentiable Loss Functions