Feedback neural network are neural networks with the ability to provide bottom-up and top-down design feedback to their input or previous layers, based...

backpropagation through time. Thus neural networks cannot contain feedback like negative feedback or positive feedback where the outputs feed back to the...

A neural network, also called a neuronal network, is an interconnected population of neurons (typically containing multiple neural circuits). Biological...

In artificial neural networks, recurrent neural networks (RNNs) are designed for processing sequential data, such as text, speech, and time series, where...

types of artificial neural networks (ANN). Artificial neural networks are computational models inspired by biological neural networks, and are used to approximate...

A convolutional neural network (CNN) is a type of feedforward neural network that learns features via filter (or kernel) optimization. This type of deep...

Paul F. Christiano (2020). "Learning to summarize with human feedback". Advances in Neural Information Processing Systems. 33. Ouyang, Long; Wu, Jeffrey;...

In machine learning, a neural network (also artificial neural network or neural net, abbreviated ANN or NN) is a computational model inspired by the structure...

Instantaneously trained neural networks are feedforward artificial neural networks that create a new hidden neuron node for each novel training sample...

learning, cellular neural networks (CNN) or cellular nonlinear networks (CNN) are a parallel computing paradigm similar to neural networks, with the difference...

pre-feedback to a person or an organization from which you are expecting a feedback. A feedforward neural network is a type of artificial neural network....

machine learning, deep learning focuses on utilizing multilayered neural networks to perform tasks such as classification, regression, and representation...

of a biological neuron in a neural network. The artificial neuron is the elementary unit of an artificial neural network. The design of the artificial...

developed by Ian Goodfellow and his colleagues in June 2014. In a GAN, two neural networks compete with each other in the form of a zero-sum game, where one agent's...

Quantum neural networks are computational neural network models which are based on the principles of quantum mechanics. The first ideas on quantum neural computation...

of neural activity are used to control the virtual body, and the computer is used as a sensory device to provide electrical feedback to the neural network...

R. (2006). "A model of surround suppression through cortical feedback". Neural Networks. 19 (5): 564–72. CiteSeerX 10.1.1.107.6077. doi:10.1016/j.neunet...

state. One example is the computation of sensor feedback from a known full state feedback. Neural networks are commonly used for such tasks. Control design...

Neural oscillations, or brainwaves, are rhythmic or repetitive patterns of neural activity in the central nervous system. Neural tissue can generate oscillatory...

machine learning, advances in the field of deep learning have allowed neural networks, a class of statistical algorithms, to surpass many previous machine...

Feedback occurs when outputs of a system are routed back as inputs as part of a chain of cause and effect that forms a circuit or loop. The system can...

using information from the hidden layers of recurrent neural networks. Recurrent neural networks favor more recent information contained in words at the...

The random neural network (RNN) is a mathematical representation of an interconnected network of neurons or cells which exchange spiking signals. It was...

trained 6 experts, each being a "time-delayed neural network" (essentially a multilayered convolution network over the mel spectrogram). They found that...

another to form large scale brain networks. Neural circuits have inspired the design of artificial neural networks, though there are significant differences...

Takao, S.; Kondo, S.; Ueno, J.; Kondo, T. (2017). "Deep feedback GMDH-type neural network and its application to medical image analysis of MRI brain...

Conferences and the Ratio Club. Early focuses included purposeful behaviour, neural networks, heterarchy, information theory, and self-organising systems. As cybernetics...

recurrent neural networks, such as Elman networks. The algorithm was independently derived by numerous researchers. The training data for a recurrent neural network...

Pistillo D, et al. (October 2013). "Opposite feedbacks in the Hippo pathway for growth control and neural fate". Science. 342 (6155): 1238016. doi:10.1126/science...

Frontline: Neural Cloud (Chinese: 少女前线：云图计划; pinyin: Shàonǚ qiánxiàn: Yúntú jìhuà) is a roguelike strategy game from Shanghai Sunborn Network Technology...