"deep learning"

Generalised triangular distributions for ordinal deep learning: Novel proposal and optimisation

Deep learning techniques for ordinal classification have recently gained significant attention. Predicting an ordinal variable, that is, a variable that demonstrates a natural relationship between categories, is of relevance for a number of …

ReLU-based activations: analysis and experimental study for deep learning

Activation functions are used in neural networks as a tool to introduce non-linear transformations into the model and, thus, enhance its representation capabilities. They also determine the output range of the hidden layers and the final output. …