Understanding how to use non-standard activation functions allows you to customize a neural network system. A neural network loosely models biological synapses and neurons. Neural network (NN) ...

Explore 20 powerful activation functions for deep neural networks using Python! From ReLU and ELU to Sigmoid and Cosine, learn how each function works and when to use it. #DeepLearning #Python ...

Since their simultaneous discovery by two groups 1,2, orexin/hypocretin neurons have been implicated in numerous functions, including regulating sleep/wake cycles, arousal, reward seeking, cognition, ...

National University of Singapore (NUS) researchers have devised a method to safely and temporarily "switch off" and then "turn on" ribonucleic acid (RNA) inside cells. This is achieved using ...

Invariant natural killer T (iNKT) cells are a specialized T cell population that recognizes lipid antigens that are presented by a cell-surface molecule known as CD1d. They have been shown to have ...

Consider the multivariate nonparametric regression model. It is shown that estimators based on sparsely connected deep neural networks with ReLU activation function and properly chosen network ...

Neural networks are one typical structure on which artificial intelligence can be based. The term "neural" describes their learning ability, which to some extent mimics the functioning of neurons in ...

That kind of activation might occur in response to a viral or bacterial infection, for example. The study authors explored this ... "It really adds a new dimension as to how microglia exert their ...