A recurrent neural network (RNN) is one of the two broad types of artificial neural network, characterized by direction of the flow of information between... 72 KB (8,082 words) - 10:33, 25 April 2024 |
Bidirectional recurrent neural networks (BRNN) connect two hidden layers of opposite directions to the same output. With this form of generative deep... 6 KB (661 words) - 22:47, 24 July 2023 |
Gated recurrent units (GRUs) are a gating mechanism in recurrent neural networks, introduced in 2014 by Kyunghyun Cho et al. The GRU is like a long short-term... 8 KB (1,176 words) - 16:50, 20 February 2024 |
Deep learning (redirect from Deep neural network) architectures such as deep neural networks, deep belief networks, recurrent neural networks, convolutional neural networks and transformers have been... 174 KB (17,347 words) - 00:36, 1 May 2024 |
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... 25 KB (2,828 words) - 03:06, 16 April 2024 |
in parallel (such as in transformers) or sequentially (such as recurrent neural networks). "Soft" weights can change during each runtime, in contrast to... 28 KB (2,153 words) - 03:53, 22 April 2024 |
as recurrent neural networks and convolutional neural networks, renewed interest in ANNs. The 2010s, saw the development of a deep neural network (a neural... 61 KB (6,431 words) - 06:25, 22 February 2024 |
Language model (redirect from Neural net language model) the public internet), feedforward neural networks, and transformers. They have superseded recurrent neural network-based models, which had previously... 14 KB (2,301 words) - 10:21, 28 April 2024 |