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In machine learning, a neural network (also artificial neural network or neural net, abbreviated ANN or NN) is a model inspired by the structure and function...157 KB (16,980 words) - 04:32, 29 May 2024
A neural network, also called a neuronal network, is an interconnected population of neurons (typically containing multiple neural circuits). Biological...12 KB (1,342 words) - 21:06, 3 June 2024- 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 (8,081 words) - 18:34, 20 May 2024
- Convolutional neural network (CNN) is a regularized type of feed-forward neural network that learns feature engineering by itself via filters (or kernel)...132 KB (14,865 words) - 01:54, 3 June 2024
Transformer (deep learning architecture) (redirect from Transformer (neural network))Representations from Transformers). In 1990, the Elman network, using a recurrent neural network, encoded each word in a training set as a vector, called a word embedding...65 KB (8,139 words) - 00:09, 1 June 2024
Quantum neural networks are computational neural network models which are based on the principles of quantum mechanics. The first ideas on quantum neural...21 KB (2,542 words) - 11:51, 25 May 2024
Deep learning (redirect from Deep neural network)boolean neural network, also known as a weightless neural network, composed of a 3-layers self-organising feature extraction neural network module (SOFT)...177 KB (17,587 words) - 05:50, 27 May 2024- AI accelerator (redirect from Hardware accelerated neural network)followed. As early as 1993, digital signal processors were used as neural network accelerators to accelerate optical character recognition software. By...53 KB (5,142 words) - 07:23, 24 May 2024
A feedforward neural network (FNN) is one of the two broad types of artificial neural network, characterized by direction of the flow of information between...21 KB (2,320 words) - 06:33, 28 April 2024- A graph neural network (GNN) belongs to a class of artificial neural networks for processing data that can be represented as graphs. In the more general...34 KB (3,874 words) - 03:59, 4 May 2024
NNI (Neural Network Intelligence) is a free and open-source AutoML toolkit developed by Microsoft. It is used to automate feature engineering, model compression...4 KB (191 words) - 23:37, 14 February 2023- The Open Neural Network Exchange (ONNX) [ˈɒnɪks] is an open-source artificial intelligence ecosystem of technology companies and research organizations...6 KB (471 words) - 18:24, 27 April 2024
- interval. A neural network model based on pulse generation time can be established. Using the exact time of pulse occurrence, a neural network can employ...32 KB (3,637 words) - 05:53, 4 June 2024
- Episodic memory (redirect from Neural network models of episodic memory)at that time. Neural Network Models can undergo learning patterns to use episodic memories to predict certain moments. Neural network models help the...37 KB (4,562 words) - 07:11, 8 May 2024
Generative adversarial network (redirect from Generative adversarial neural network)based on the "indirect" training through the discriminator, another neural network that can tell how "realistic" the input seems, which itself is also...96 KB (14,084 words) - 06:57, 25 May 2024- Neural network software is used to simulate, research, develop, and apply artificial neural networks, software concepts adapted from biological neural...9 KB (1,169 words) - 02:24, 4 February 2024
- Hopfield network (redirect from Hopfield neural network)A Hopfield network (Ising model of a neural network or Ising–Lenz–Little model or Amari-Little-Hopfield network) is a spin glass system used to model neural...54 KB (7,528 words) - 00:08, 2 June 2024
Artificial neuron (redirect from Activation (neural network))mathematical function conceived as a model of biological neurons in a neural network. Artificial neurons are the elementary units of artificial neural networks...31 KB (3,585 words) - 08:29, 31 May 2024- Neuroevolution (redirect from Evolutionary neural network)learning techniques that use backpropagation (gradient descent on a neural network) with a fixed topology. Many neuroevolution algorithms have been defined...21 KB (1,779 words) - 20:41, 10 April 2024
An optical neural network (ONN) is a physical implementation of an artificial neural network with optical components. Early ONNs used a photorefractive...13 KB (1,304 words) - 18:39, 29 May 2024
- neural network feedforward neural network graph neural network recurrent neural network Siamese neural network simulated neural network time delay neural network
- A recent survey of AI applications in health care reported uses in major disease areas such as cancer or cardiology and artificial neural networks (ANN)