Information about Test

  1. 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

  2. Neural network

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    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

  3. Generative adversarial network

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    generator is typically a deconvolutional neural network, and the discriminator is a convolutional neural network. GAN applications have increased rapidly

  4. Deep learning

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

  5. Transformer (machine learning model)

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    computation. Autoregressive convolutional neural networks can handle long-range dependencies through dilated convolutions such that the path length is

  6. PyTorch

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    processing units (GPU) Deep neural networks built on a tape-based autodiff system Facebook operated both PyTorch and Convolutional Architecture for Fast Feature

  7. Movidius

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    uses the Myriad 2. Vision processing unit MPSoC Coprocessor Convolutional neural network Newenham, Pamela. "Sean Mitchell and David Moloney, Movidius"

  8. Encog

    aimlexchange.com/search/wiki/page/Encog

    provided to help model and train neural networks. Encog has been in active development since 2008. ADALINE Neural Network Adaptive Resonance Theory 1 (ART1)

  9. Machine learning in video games

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    and run on. Convolutional neural networks (CNN) are specialized ANNs that are often used to analyze image data. These types of networks are able to learn

  10. Machine learning

    aimlexchange.com/search/wiki/page/Machine_learning

    Honglak Lee, Roger Grosse, Rajesh Ranganath, Andrew Y. Ng. "Convolutional Deep Belief Networks for Scalable Unsupervised Learning of Hierarchical Representations"

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