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Recurrent neural network
aimlexchange.com/search/wiki/page/Recurrent_neural_networkA recurrent neural network (RNN) is a class of artificial neural networks where connections between nodes form a directed graph along a temporal sequence

Bidirectional recurrent neural networks
aimlexchange.com/search/wiki/page/Bidirectional_recurrent_neural_networksBidirectional Recurrent Neural Networks (BRNN) connect two hidden layers of opposite directions to the same output. With this form of generative deep

Feedforward neural network
aimlexchange.com/search/wiki/page/Feedforward_neural_networkfeedforward neural network is an artificial neural network wherein connections between the nodes do not form a cycle. As such, it is different from recurrent neural

Artificial neural network
aimlexchange.com/search/wiki/page/Artificial_neural_networkArtificial neural networks (ANN) or connectionist systems are computing systems that are inspired by, but not identical to, biological neural networks that

Neural network
aimlexchange.com/search/wiki/page/Neural_networkA neural network is a network or circuit of neurons, or in a modern sense, an artificial neural network, composed of artificial neurons or nodes. Thus

Types of artificial neural networks
aimlexchange.com/search/wiki/page/Types_of_artificial_neural_networkstypes of artificial neural networks (ANN). Artificial neural networks are computational models inspired by biological neural networks, and are used to approximate

Long shortterm memory
aimlexchange.com/search/wiki/page/Long_shortterm_memoryan artificial recurrent neural network (RNN) architecture used in the field of deep learning. Unlike standard feedforward neural networks, LSTM has feedback

Deep learning
aimlexchange.com/search/wiki/page/Deep_learningsuch as deep neural networks, deep belief networks, recurrent neural networks and convolutional neural networks have been applied to fields including computer

Recursive neural network
aimlexchange.com/search/wiki/page/Recursive_neural_networkA recursive neural network is a kind of deep neural network created by applying the same set of weights recursively over a structured input, to produce

Convolutional neural network
aimlexchange.com/search/wiki/page/Convolutional_neural_networkIn deep learning, a convolutional neural network (CNN, or ConvNet) is a class of deep neural networks, most commonly applied to analyzing visual imagery