Information about Test

  1. Recurrent neural network

    aimlexchange.com/search/wiki/page/Recurrent_neural_network

    A recurrent neural network (RNN) is a class of artificial neural networks where connections between nodes form a directed graph along a temporal sequence

  2. Bidirectional recurrent neural networks

    aimlexchange.com/search/wiki/page/Bidirectional_recurrent_neural_networks

    Bidirectional Recurrent Neural Networks (BRNN) connect two hidden layers of opposite directions to the same output. With this form of generative deep

  3. Feedforward neural network

    aimlexchange.com/search/wiki/page/Feedforward_neural_network

    feedforward 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

  4. Artificial neural network

    aimlexchange.com/search/wiki/page/Artificial_neural_network

    Artificial neural networks (ANN) or connectionist systems are computing systems that are inspired by, but not identical to, biological neural networks that

  5. Neural network

    aimlexchange.com/search/wiki/page/Neural_network

    A 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

  6. Types of artificial neural networks

    aimlexchange.com/search/wiki/page/Types_of_artificial_neural_networks

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

  7. Long short-term memory

    aimlexchange.com/search/wiki/page/Long_short-term_memory

    an artificial recurrent neural network (RNN) architecture used in the field of deep learning. Unlike standard feedforward neural networks, LSTM has feedback

  8. Deep learning

    aimlexchange.com/search/wiki/page/Deep_learning

    such as deep neural networks, deep belief networks, recurrent neural networks and convolutional neural networks have been applied to fields including computer

  9. Recursive neural network

    aimlexchange.com/search/wiki/page/Recursive_neural_network

    A 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

  10. Convolutional neural network

    aimlexchange.com/search/wiki/page/Convolutional_neural_network

    In deep learning, a convolutional neural network (CNN, or ConvNet) is a class of deep neural networks, most commonly applied to analyzing visual imagery

Contents