In the context of artificial neural networks, the rectifier or ReLU (rectified linear unit) activation function is an activation function defined as the...

recurrent neural networks and convolutional neural networks, renewed interest in ANNs. The 2010s, saw the development of a deep neural network (a neural network...

A residual neural network (also referred to as a residual network or ResNet) is a seminal deep learning model in which the weight layers learn residual...

Deep sparse rectifier neural networks (PDF). AISTATS. Archived from the original (PDF) on 2016-12-13. Retrieved 2023-04-10. Rectifier and softplus activation...

to: Rectifier, a device for converting alternating current to direct current Rectifier (neural networks), an activation function for artificial neural networks...

(hidden layers). A network is typically called a deep neural network if it has at least 2 hidden layers. Artificial neural networks are used for various...

function. Logistic function Rectifier (neural networks) Stability (learning theory) Softmax function Hinkelmann, Knut. "Neural Networks, p. 7" (PDF). University...

introduced the ReLU (Rectifier Linear Unit) activation function in the context of visual feature extraction in hierarchical neural networks. It was later argued...

architectures such as deep neural networks, deep belief networks, recurrent neural networks, convolutional neural networks and transformers have been...

or loops, in contrast to recurrent neural networks, which have a bi-directional flow. Modern feedforward networks are trained using the backpropagation...